Introduction Protecting digital health data from unauthorized access, alteration, and destruction is a crucial aspectof healthcare digitalization. Currently, digital security breaches are becoming more common. Healthcare databreaches have compromised over 50 million medical records per year. In Ethiopia, health digitization has growngradually. However, there is a limitation of study in digital health security. Studying digital health data security helpsindividuals protect digital data as a baseline and contributes to developing a digital health security policy.Objective To assess the practice of healthcare professionals in digital health data security among specializedteaching referral hospitals in Amhara Region, Ethiopia.Method A cross-sectional study design supplemented by a qualitative purposive sampling method was usedto measure the digital data security practices of health professionals. The sample size was determined via singlepopulation proportion formula. A simple random sampling technique was used for the study participants. Then, self-administered questionnaires were administered. Multivariable logistic analysis was used to identify associated factorsusing STATA software. For the qualitative study, key informant interviews were used and analyzed using thematicanalysis approach via open-code software.Results Out of the 423 health professionals, 95.0% were involved in the survey. The finding indicates digital healthdata security practice of health professionals working at specialized teaching hospitals were 45.0%, CI: (40, 50). Healthprofessionals 41–45-year age group (AOR = 0.107), master’s degree (AOR = 2.45), postmaster’s degree (AOR = 3.87),time to visit the internet for more than two hours (AOR = 2.46), basic computer training (AOR = 2.77), training indigital data security (AOR = 2.14), and knowledge (AOR = 1.76) were associated with the practice of digital health datasecurity. For the qualitative study, three teams were prepared. The findings indicate digital health data security can beimproved through training, advanced knowledge and working with digital security.
Conclusion The practice of digital health data security in specialized teaching hospitals in the Amhara region wasinadequate. Therefore, it can be improved through enhancing education status, increasing the time needed to visitthe internet, providing computer training, and updating health professionals’ knowledge toward digital health datasecurity.Keywords Practice, Digital health, Digital data security, Health profession

EXECUTIVE SUMMARY Globally, the amount of time children spend using electronic or digital devices—commonly referred to as screen time are increasingly prevalent. This growing prevalence of screen time among children has raised concerns about its impact on their development. Therefore, this study aimed to explore three key themes: (1) the availability and use of electronic devices in households, (2) factors contributing to excessive screen time among children, and (3) the relationship between screen time and children's cognitive, emotional, and social development. The study was conducted in five selected towns within the East Gojjam Administrative Zone, namely Debre Markos, Bichena, Merto Lemariam, Dejen, and Lumame. For the quantitative data, 845 participants were chosen using multistage sampling techniques. Additionally, qualitative data was collected through interviews with 25 participants, 9 focus group discussions, and the collection of 16 diaries. We collected data by using questionnaires, semistructured interviews, focus group discussions, and diary records. For quantitative data analysis, SPSS version 20 was used. To summarize the demographic characteristics of participants, and describe the availability and use of electronic devices, descriptive statistics such as percentage and mean were used. Multiple regression analysis was used to examine the relationship between the total and device-specific screen time and children’s socioemotional and cognitive development. Qualitative data was analyzed using thematic analysis. The study revealed that children ages 2 to 5 had an average screen time of 244 minutes each day. The two most frequently used electronic devices in this age group are televisions, at 80.4%, and smartphones, at 45.2%. The multiple regression analysis indicated that parental screen time, mother’s employment status, and age were significantly and positively associated with children’s screen time. In conclusion, screen time for children aged 2 to 5 years exceeds the recommended limit. To have proper screen time for both parents and children, it is important to establish and implement clear guidelines.

The experiment was carried out to evaluate the agronomic performance and dry matter yield of thePennisetum pedicellatum varieties (areka, kulmsa, and kindonkosha-591) at Debre Markos University,Ethiopia, during 2023 in a RCBD with three replications. The agronomic performance of all varieties wasmeasured from the six plants that were selected randomly from the middle rows of each plot at 105, 119,and 133 days after planting, and dry matter yield was measured at 135 days after planting. The studyshowed that there were significant differences (p < 0.05) in plant height, number of tillers and leaves,leaf length, and dry matter yield, but the number of nodes and leaf width were not significantly different(p > 0.05) among varieties. The highest values of plant height, number of tillers and leaves per plant, andleaf length and width were measured from the areka variety, followed by the kulmsa variety, while theleast was recorded from the kindonkosha-591 variety. The plant height, number of tillers per plant,number of leaves per plant, and dry matter yield of the areka variety were significantly higher (p < 0.05)than the kulmsa and kindonkosha-591 varieties. The highest dry matter yield was also produced fromareka (11.55 t/ha), followed by kulmsa (8.52) and kindonkosha −591 (7.99 t/ha). The areka grass varietyshowed superior agronomic performance and dry matter yield, suggesting its potential for improvingfeed shortage constraints in the study areas.
KEYWORDS: Agronomy; Desho grass; dry matter; Pennisetum pedicellatum; varieties

This study investigates the dynamics of instability among the Amhara people in Ethiopia following the political reform of 2018. It examines the main causes, key actors, phases of instability, and possible remedies. Employing a mixed-method research design, the study collected data through questionnaires, interviews, focus group discussions, and document analysis. Thematic and descriptive analyses were used to interpret the findings. The research reveals that the ongoing instability in the Amhara region since 2018 involves multiple actors and has both historical and contemporary roots. Deep-seated historical contradictions, coupled with a regressive political culture, have contributed to the persistence of unrest. Left-wing ethnically based political parties that perceive the Amhara as historical adversaries—alongside power struggles within the ruling coalition, merged as central drivers of instability. Beyond external political forces such as the Tigray People’s Liberation Front (TPLF) and the Oromo Liberation Army (OLA), internal factions like the Oromo Democratic Party (ODP) also played direct and indirect roles. Additionally, influential activists have further intensified the region’s instability. Factors such as public euphoria following the 2018 reform, the weakening of state institutions, perceived political dominance of the ODP, divisions among Amhara elites, the outbreak of the Tigray war, and shortages of agricultural inputs like fertiliser have collectively fueled the unrest. By categorising the instability into three distinct phases, the study offers a comprehensive understanding of its evolution. Ultimately, it concludes that inclusive political dialogue, mutual understanding among major actors, and national consensus are essential pathways toward restoring stability and peace in the Amhara region.
Keywords: Amhara, Causes, Instability, actors, Ethiopia, Remedies

Recent advances in electrochemistry and electrode surface modification highlight the potential of transitionmetal coordination compounds as effective modifiers. This study presents sodium tetraresorcinolatocuprate(II)(Na₂[Cu(HR)₄]), a newly synthesized compound characterized using UV–Vis, FT-IR spectroscopy, ICP OES, andmelting point analysis. A poly(Na₂[Cu(HR)₄])/GCE was fabricated via potentiodynamic techniques, with cyclicvoltammetry and electrochemical impedance spectroscopy confirming the formation of a polymer film thatenhanced the electrode’s active area and electrocatalytic properties. The developed poly(Na₂[Cu(HR)₄])/GCEwas applied for determination of ciprofloxacin (CPF), an antibiotic prone to resistance issues, that requiresreliable monitoring in pharmaceutical and biological samples. The poly(Na₂[Cu(HR)₄]) modifier significantlyimproved CPF detection by reducing its oxidation potential and increasing current response by eightfoldcompared to unmodified electrodes, suggesting the modifier’s catalytic role in CPF oxidation. Differential pulsevoltammetry (DPV) showed a linear CPF response over concentrations of 1.0 × 10 8 to 4.0 × 10 4 M, withdetection and quantification limits of 2.0 nM and 6.8 nM, respectively. Analysis of commercial CPF brandsshowed 98.05–100.00 % accuracy, while spike recovery rates (99.25–100.40 %) and low interference errors(

Method Twenty inactive males (BMI 27.67 ± 0.88 kg/m2 , age 49.15 ± 2.58 years) participated in an eight-week wererandomly assigned to one of three intervention groups (combined (CT), resistance (RT), and aerobic (AT)) exercisemodalities to assess within-subject and between group changes in glycolipid profile. Data were analyzed usingrepeated measures ANCOVA.Result Pre-post mean values of body fat percentage (%BF), area under the curve (AUC), low density lipoprotein (LDL),high density lipoprotein (HDL) and total cholesterol (TC) decreased in all three groups. The main effect of exercisemodality on the AUC (F (2, 26) = 10.577, P = 0.001, η2 = 0.569) was significant. Post-hoc analyses revealed that the RTgroup (-30.653 ± 6.766, p = 0.001) with 11.53% and the CT group (M = -0.896, SE = 3.347, P = 0.015) with 3.79% exhib-ited significantly greater reductions in AUC compared to the AT group. LDL levels showed significant differentbetween groups (F (2, 26) = 6.33, p = 0.009, η2 = 0.442), specially significantly 3.7% lowered in AT (MD = 4.783, SE = 1.563,P = 0.002) and 3.79% lower in CT (MD = 4.57, SE = 1.284, P = 0.008) groups compared to the RT group. AT significantlyreduced TC by 17.716 ± 5.705 mg/dL (p = 0.02) compared to RT, representing a 7.97% decrease.Conclusion Exercise type significantly influences lipid profiles and glycemic control. Notably, both aerobic and com-bined training demonstrated a superior ability to modulate the lipid profile, and resistance training and combinedtraining were more effective in reducing the AUC.Trial registration May, 31st 2024. Registration no: PACTR202405463745521 “Retrospectively registered”.Keywords Glucose tolerance, Lipid profile, Resistance training, Aerobic training and combind training

Eucalyptus camaldulensis is commonly planted on farmland in highland Ethiopia because of its high economic proftability.However, the expansion of woodlot plantations has led to a decline in crop growth and yield, which negatively afects foodsecurity. To address this issue, this study aimed to examine the efects of Eucalyptus camaldulensis woodlot expansion on cropproduction and food security in South Achefer. Data were collected from 180 respondents using a three-stage sampling techniquefor the four kebeles in the district. Te survey data were analyzed using descriptive and inferential statistics, and a binary logitregression model using SPSS software version 24. Tis study found that most households (87%) perceived a rapid increase inEucalyptus woodlot expansion. Te allocation of more land for Eucalyptus woodlot expansion was positively and signifcantlyafected by family size, landholding size, total annual income, and availability of unproductive land. Additionally, the studyrevealed that Eucalyptus woodlots highly compete with nearly all grown crops for nutrients and moisture. Tis causes a reductionin yield from one to four quintals compared to the normal crop grown far from the Eucalyptus tree. Approximately three-fourths(71%) of the sampled farmers did not obtain stable food annually and were considered food insecure. To alleviate food insecurity,this study suggests that stakeholders should focus on improving livelihood alternatives rather than expanding Eucalyptuswoodlots.Keywords: access; availability; binary logistic regression; stability; utilization; woodlot

Abstract: The egg quality measurements were undertaken as egg weight loss (%), shell thickness,Haugh unit, yolk height, yolk width, yolk index and albumen height. The non-sprayed chickeneggs showed a higher weight loss percentage of 3.07% within 15 days of storage. However, itwas shown to be lower the weight loss of 0.48% when sprayed. Even though a progressivedecrease in yolk height, albumen height, yolk index and Haugh unit values were shown as thestorage period advances, sprayed eggs which resulted to be greater within each storage periodthan non-sprayed eggs. Non- sprayed eggs stored for 15, 10, 5, and 0 day had a Haugh unit valueof 52.42±2.66, 73.29±6.44, 77.51±3.88 and 85.72 ± 2.85, respectively. Whereas, Haugh unitvalues were shown as 82.43±4.31, 82.90 ±4.43, 84.73 ±3.25 and 85.52±6.37 respectively whichrecorded after spraying. There were significant differences (P < 0.05) in moisture percentage, fatand protein content among non-sprayed eggs kept for different storage period. But percentage ofash and carbohydrate were unaffected. There was gradually decreased in the percentage ofmoisture, fat and protein content as the storage period advances.Keywords: Haugh unit, Albumen height, Fat, Protein, Ash, Carbohydrate

Industries are among the largest global consumers of water, with a significant portion beingconverted into industrial wastewater. Paint factories, in particular, are major contributors toenvironmental lead pollution, releasing lead (II) through untreated effluents. Exposure to lead (II)poses serious health risks, including carcinogenic effects, neurological disorders, blood-relatedcomplications, and damage to vital organs such as the liver, kidneys, and lungs. While exten-sive research has focused on lead (II) removal from synthetic wastewater, limited studies haveaddressed the application of these methods to real industrial wastewater. This study aimed toevaluate the efficiency of Noug stalk activated carbon in removing lead (II) from paint factoryeffluent under optimized conditions. Laboratory experiments were conducted to assess the per-formance of Noug stalk activated carbon in treating wastewater from a paint factory. Statisticalanalysis using Statistical Package for Social Sciences version 20 was employed, with a pairedsample t-test determining the significance of differences in lead (II) concentrations before andafter treatment, considering a p-value of

Given the Amharic language has a lot of perplexing terminology since it features duplicate homophone letters,fidel’s ሀ, ሐ, and ኀ (three of which are pronounced as HA), ሠ and ሰ (both pronounced as SE), አ and ዐ (bothpronounced as AE), and ጸ and ፀ (both pronounced as TSE). The WSD (Word Sense Disambiguation) model, whichtackles the issue of lexical ambiguity in the context of the Amharic language, is developed using a deep learningtechnique. Due to the unavailability of the Amharic wordnet, a total of 1756 examples of paired Amharicambiguous homophonic words were collected. These words were ድህነት(dhnet) and ድኅነት(dhnet), ምሁር(m’hur)and ምሑር(m’hur), በአል(be’al) and በዢል(be’al), አቢይ (abiy) and ዐቢይ(abiy), with a total of 1756 examples.Following word preprocessing, word2vec, fasttext, Term Frequency-Inverse Document Frequency (TFIDF), andbag of words (BoW) were used to vectorize the text. The vectorized text was divided into train and test data. Thetrain data was then analysed using Naive Bayes (NB), K-nearest neighbour (KNN), logistic regression (LG), de-cision trees (DT), random forests (RF), and random oversampling technique. Bidirectional Gate Recurrent Unit(BiGRU) and Bidirectional Long Short-Term Memory (BiLSTM) improved to 99.99 % accuracy even with limiteddatasets.
Key Words: Amharic language, Homophone, Machine learning, Deep learning, Bidirectional, BiLSTM, BiGRU, TFIDF, BoW, Word embedding, Amharic word sense disambiguation