bluuebunny/crossref_metadata_2025 huggingface dataset:
STABILITY ANALYSIS OF EMBANKMENT SOIL SLOPES IN THE INTERNATIONAL SCHOOL PROJECT
Authors: Silaban Merdy Evalina , Pratama M. Fadly Devkha
Published: February 2025

The construction of an international school in the Jakarta Garden City area requires additional embankment soil, which creates a potential landslide risk due to elevation differences. This study aims to recalculate the safety of the slope conditions. The results of the analysis of the original slope condition without reinforcement using the Fellenius method yielded a value of 1.239, and this was clarified in the Plaxis analysis with a safety factor value of 1.2445. From these two analyses, the safety factor value is considered unsafe because the minimum safety factor for slope stability is ≥ 1.5 according to SNI 8460:2017 standards. Therefore, several reinforcement alternatives need to be considered. This study uses two reinforcement alternatives: cantilever retaining walls and geotextile reinforcement. The analysis of cantilever retaining walls yielded results of 2.233 for overturning failure, 1.657 for sliding failure, 3 for bearing capacity failure, and a global failure analysis aided by the Plaxis application resulted in 1.9753. All these safety factor values indicate that the retaining wall design is safe. Furthermore, in the stability analysis with geosynthetic reinforcement, a value of 1.556 was obtained, and this was clarified in the Plaxis analysis with a safety factor value of 1.7088. Based on the safety factor results of these two alternatives, the use of cantilever retaining walls is safer.
THE RELATIONSHIP BETWEEN EXPERTISE COMPETENCE AND THE FIELD OF WORK OF ALUMNI OF THE CIVIL ENGINEERING STUDY PROGRAMME AT UNIVERSITAS NEGERI SURABAYA
Authors: Wulandari Meity , Risdianto Yogie , Nusantara Danayanti Azmi Dewi , Sofianto Mochamad Firmansyah , Putra Alwan Gangsar Brilian
Published: February 2025

Tracing the relationship of expertise competence to the field of work of Civil Engineering S1 alumni of  Universitas Negeri Surabaya (UNESA) with the Tracer Study method in the form of filling out questionnaires by graduates aims to obtain information about the types of stakeholders as users of graduates; information related to the suitability between disciplines and the field of work chosen by graduates; and to determine the competence of graduates against the needs of industry or the world of work based on data analysed by quantitative descriptive methods. The results of the analysis show that 82% of graduates work in the construction field and 18% in the non-construction field, which percentage interprets that the discipline of civil engineering competence at UNESA is relevant to the field of work being undertaken by graduates and the competence of graduates who have been indicated in accordance with the needs of industry and the world of work based on the percentage of alumni data who have worked greater than alumni who have not worked, namely 73% of alumni have worked in 2022 graduates, 64% have worked in 2023 graduates, and in 2024 graduates, 87% of alumni have worked.
PREDICTION OF MEGATHRUST IMPACT ON SEISMIC RESPONSE IN SELEBAR DISTRICT OF BENGKULU CITY
Authors: Fahrezi Zhehan , Misliniyati Rena , Amri Khairul , Mase Lindung Zalbuin , Hardiansyah
Published: February 2025

Bengkulu City was hit by major earthquakes in 2000 and 2007 with magnitudes of 7.9 Mw and 8.6 Mw. In 2022 BMKG Baai Island, Bengkulu City, said that there is a potential for an earthquake with a maximum magnitude of 8.9. This study was conducted to determine the response of soil layers due to megathrust earthquake wave propagation in Selebar district, Bengkulu City. The study began with field investigations at six points. The seismic response analysis was built based on a one-dimensional wave propagation model with non-linearity. The 2007 Bengkulu-Mentawai earthquake wave with a magnitude of 8.8 Mw was applied as the input wave. PGA, acceleration response spectra, and amplification factors are presented in this study. The resulting PGA ranged from 0.328g - 0.453g. Five points experienced amplification with amplification factors of 1.093 - 1.317. The spectral acceleration has generally exceeded the applicable design spectral acceleration at a period of 0.2 seconds. The spectral accelerations have generally exceeded the applicable seismic design at short periods, with maximum values of 1.27g - 1.64g. So it is necessary to update the seismic design for building planning in Selebar District, Bengkulu City.
A EVALUASI KONDISI GEDUNG GEREJA DI JAKARTA BARAT DENGAN METODE CONDITION SURVEY PROTOCOL (CSP) 1
Authors: Marlissa Christohodos E. W. , Dermawan Hans , Palamba Widsri
Published: February 2025

Kondisi perkembangan jumlah gereja di Jakarta Barat menunjukkan peningkatan. Meskipun terdapat pertumbuhan kuantitas, penurunan kualitas gedung gereja menjadi perhatian, terutama akibat usia bangunan, cuaca dan kurangnya pemeliharaan dan perawatan.. Insiden runtuhnya plafon di salah satu gereja di Jakarta Barat mencermikan dampak faktor-faktor tersebut. Penelitian ini menerapkan metode visual Condition Survey Protocol (CSP) 1 untuk menilai kondisi komponen-komponen gedung gereja secara sistematis. Dengan menggunakan CSP 1, peneliti dapat menilai kerusakan, menetapkan prioritas, serta mengetahui tingkat keseluruhan bangunan gedung gereja. 63% gedung gereja di Jakarta Barat berada dalam kondisi baik, sedangakan 37% termasuk dalam kategori cukup. Tidak ditemukan gedung gereja yang termasuk kategori rusak. Frekuensi terbanyak kerusakan yang ditemukan adalah komponen arsitektural dengan rata-rata kerusakan berupa perubahan warna dan cat yang terkelupas, struktural dengan kerusakan berupa retak 0,2 – 1 mm, elektrikal dengan rata-rata kerusakan berupa stop kontak yang longgar. Hal ini disebabkan oleh faktor cuaca, kualitas material, usia bangunan, perencanaan pemeliharaan yang belum optimal dan faktor biaya yang menjadi kendala bagi gereja yang jemaatnya sedikit. Variasi nilai matriks menunjukkan adanya perbedaan tingkat pemeliharaan dan perawatan tiap gedung gereja, dengan nilai matriks tinggi membutuhkan peningkatan perencanaan tindakan perbaikan kerusakan yang menjadi prioritas untuk meningkatkan kualitas dan menjaga komponen-komponen bangunan dalam keadaan laik fungsi.
ADVANCING VOCATIONAL EDUCATION WITH VOCAR-FLIP: IMPROVING STUDENT COMPREHENSION IN THE DIGITAL ERA
Authors: Sakti Asri Wibawa , Rahayu Sri , M. Muktiarni  , Ghinaya Zahra , Sabitri Zenita
Published: February 2025

In the 21st century, globalization and digital transformation have changed life patterns significantly. Digital technology is now at the center of almost all aspects of life, including the education sector in Indonesia. Technological skills and readiness to face the job market demands are critical. Vocational education, including vocational schools, aims to equip students for global market competition but continues to encounter obstacles in enhancing the quality and relevance of its programs. The proposed solution is the development of flipbook- based learning media with Augmented Reality (AR) to increase student engagement and skills in this digital era. This study employed a pre-experimental design with a one-group pretest-posttest approach, involving a population of 149 vocational school students from West Java. The research results show that using Flipbook with AR produces an N-gain score of 74.3%. With this N-gain value, the VocAR-Flip model effectively improves vocational school students' learning outcomes, especially in academic achievement and conceptual understanding. This research can contribute to developing more interactive and efficient learning technology for future education.
ANALYSIS AND RISKS FAST TRACK AND CRASH PROGRAM METHOD ON BUILDING PROJECT
Authors: Khiyana A'izzatul , Sundari Titin , Yulianto Totok , Nugroho Meriana Wahyu , Agung Achmad Imam
Published: February 2025

Project delay is a major issue in execution, often causing cost overruns if not addressed. Acceleration helps meet targets and increase profits. Research on fast track and crash programme methods is extensive, but mainly focuses on case studies rather than risks or work quality. Building X’s construction project faced a 3rd-week delay, extending from 23 weeks (December 2022) to 25 weeks (January 2023). This study aims to determine the most time- and cost-efficient acceleration method using primary (questionnaire) and secondary data (S-curve, unit price analysis, budget plan, and project reports). Applying fast track and crash programme methods along with risk frequency analysis, the study identifies the fast-track method as optimal, reducing project time to 22 weeks with 12% efficiency and Rp. 759,698,484.61 in cost savings. However, a potential risk is concrete cracks due to acceleration. This research complements previous studies by integrating risk analysis and quality assessment in fast-track acceleration.
THE EFFECTIVENESS OF LEARNING MANAGEMENT APPLICATION IN FOUNDATION ENGINEERING BASED ON E-MODULES IN THE BUILDING ENGINEERING EDUCATION PROGRAM, STATE UNIVERSITY OF JAKARTA
Authors: Handoyo Santoso Sri , Yasinta Rezi Berliana , Wukir Diah Ayu , Husnaini  , Rizqiani Nabila
Published: February 2025

This study aims to evaluate the effectiveness of e-module-based learning in the Foundation Engineering I course. The research method employed is an experimental approach with two groups. The learning material consists of four learning activities (KB1, KB2, KB3, and KB4). The research instrument includes learning outcome tests conducted before (pre-test) and after (post-test) the learning process. The findings show that the experimental group experienced learning outcome improvements of 29.40% (KB1), 33.94% (KB2), 58.41% (KB3), and 24.51% (KB4). Meanwhile, the control group achieved increases of 25.74% (KB1), 31.67% (KB2), 51.80% (KB3), and 22.44% (KB4). The average learning outcome improvement in the experimental group was 36.49%, slightly higher than the control group at 32.93%, with a difference of 3.56%. However, statistical analysis revealed no significant difference between the two groups. This study indicates that e-modules are not yet fully effective in enhancing learning outcomes in the Foundation Engineering I course. The effectiveness of e-module-based learning is influenced by various factors, such as the e-module design, interactivity, and students’ readiness to utilize technology. Additionally, the complexity of Foundation Engineering I material necessitates intensive guidance from lecturers to support mathematical and conceptual understanding.
THE EFFECT OF ALKALI ACTIVATOR MOLARITY ON THE MECHANICAL PERFORMANCE OF GEOPOLYMER PAVING BLOCKS BASED ON WASTE GLASS POWDER AND FLY ASH
Authors: Abriantoro Adji Putra , Simanjuntak Manlian Ronald Adventus
Published: February 2025

The effect of concentration of sodium hydroxide (NaOH) on physical and mechanical properties of geopolymer paving blocks consist of fly ash type F and glass powder. A quantitative experimental method was used both the NaOH molarity (1M, 2M, 4M, 6M, 8M and 10M) was studied and the compressive strength, flexure strength and water absorption were taken as key parameters. The ratio of alkali activator to binder was 0.35, and the ratio of Sodium Silicate/NaOH was 1.5. The best performance at 4M molarity yielded compressive strength of 35.60 MPa and flexural strength of 4.29 MPa, due to optimal geopolymerization and denser microstructure. The mechanical performance of the geopolymer paving blocks was compromised at NaOH molarities higher than 4M due to the emergence of a micropore, which increased the porosity and water absorption from 6.55% at 1M to 9.14% at 10M. These results confirm that increasing NaOH molarity is vital for producing geopolymer paving block with high performance. Hence, this study contributes to sustainable construction by using waste products of industries for producing construction and building materials.
A study of coefficient-related problems for symmetric starlike functions connected with a tan hyperbolic function
Authors: Omer Siraj Osman , Aamir Muhammad , Bilal Muhammad , Ullah Khalil , Qadir Abbas
Published: February 2025

The article aims to determine the sharp bounds of coefficients, Fekete-Szegö, Zalcman inequalities for the family SS∗ tanh of starlike function with respect to symmetric points linked with tan hyperbolic function. We also estimate determinant of |H2,2 (f)| is also obtained for the same class. Further, we study the logarithmic and inverse coefficients for the same class.
Topic Modeling of Quranic Verses using Latent Dirichlet Allocation with English Language
Authors: Jamshaid Kashmala , Farooq Humera , Siddique Muhammad Tariq
Published: February 2025

This study aims to assess the effectiveness of topic modeling in the English translation of the Holy Quran. Topic modeling is a popular text mining technique for uncovering latent semantic patterns in the collection of textual documents and helps to annotate the documents based on these topics. This study identifies the most significant topics in each document as well as grasping an understanding of the topic distribution throughout the document sets. Different steps are performed to acquire the dominant topics in each document and identify the distribution of topics across documents. In this context, the present research work chose to employ Latent Dirichlet Allocation as an unsupervised approach for topic modeling since there is no requirement for a training phase as hidden topics can be discovered throughout the topic modeling process. For this, the word cloud is generated to understand and interpret the results after pre-processing. A dictionary and corpus are created to extract the features from the dataset using the Bag of Words approach. The results are evaluated by calculating the perplexity and coherence score, where high coherence indicates the goodness of well-structured topic models and low perplexity score indicates the correctness of prediction made by the topic models. Lastly, the visualization step is performed.
Optimized Sentiment Classification of Google Play Store App Ratings Using Advanced Machine Learning Models
Authors: Muhammad khan  , Khan Muhammad Qasim , Malik Fazal , Rahman Noor
Published: February 2025

The Google Play Store, the primary distribution platform for Android applications, hosts millions of apps and receives a large number of user reviews. However, extracting actionable insights from these reviews, particularly classifying rating sentiment (positive, negative, or neutral), remains a challenge. This paper addresses this issue by proposing a novel framework for app rating sentiment classification on Google Play Store data. We leverage a rich dataset of app reviews acquired from GitHub and employ a battery of advanced machine learning models. Specifically, we explore the efficacy of AdaBoost, XGBoost, and Artificial Neural Networks (ANNs) in conjunction with optimization techniques. Our approach significantly outperforms existing research, achieving superior accuracy ranging from 85% to 98% compared to the 78-95.9% accuracy reported in prior studies. This significant improvement translates to a deeper understanding of user sentiment across the app ecosystem. It enables developers to better gauge user satisfaction, prioritize improvements, and ultimately enhance user experience. Our work also paves the way for further research in sentiment analysis of app reviews, exploring fine-grained sentiment detection and analyzing sentiment dynamics over time.
Enabling 6G Networks for Advances Challenges and Traffic Engineering for Future Connectivity
Authors: Ahmed Mishaal , Waqqas Faiza , Fatima Maria , Khan Abdul Moid , Naz Muhammad Ajmal , Ahmed Manzar
Published: February 2025

The sixth-generation (6G) wireless networks aim to revolutionize connectivity, offering unprecedented performance in terms of speed, latency, reliability, and scalability. Beyond the capabilities of 5G, 6G envisions integrating advanced technologies such as terahertz communication, artificial intelligence, and quantum computing to support a hyperconnected and intelligent world. This paper explores the key innovations driving 6G development, including advanced spectrum utilization, ultra-massive MIMO, and edge intelligence. Furthermore, it addresses the emerging challenges associated with 6G network traffic management, including spectrum scarcity, energy efficiency, and security vulnerabilities. We examine the anticipated rise in data traffic fueled by applications such as holographic communications, immersive virtual reality, and the Internet of Everything (IoE), emphasizing the need for adaptive traffic engineering strategies. By analyzing these innovations and challenges, the study provides insights into the architectural, technical, and policy requirements for enabling efficient and sustainable 6G networks. The findings aim to guide researchers, engineers, and policymakers in shaping the future of wireless communication.
A Review of Skin Disease Detection Using Deep Learning
Authors: Fatima Shereen , Shaikh Hidayatullah , Sahito Attaullah , Kehar Asadullah
Published: February 2025

Amid increasing concerns about skin diseases exacerbated by climate change or lifestyle, some diseases are undiagnosed or misdiagnosed due to limited healthcare facilities. The worldwide health burden emphasizes the need for innovative diagnostics. This study explores the evolutionary role of deep learning in skin disease detection, providing the most advanced and effective research approaches, model achievements, and dataset usage exclusively. The review adapts data from 30 research papers and many datasets to address imbalanced class and various efficiency factors. The developments in CNN models like MobileNet or EfficientNet, have strengthened computational potential, while hybrid models have accommodated local and global features. Furthermore, Explainable AI (EXI) and augmented datasets have overcome the challenges including noisy, biased datasets and the less interpretable AI models. This study declares the innovative capacity of deep learning in dermatological analysis, highlighting its scalability and performance. Future research is required to consider dataset diversity, interpretability, and incorporating medical metadata to enhance model performances.
Gender Equality in Imamate Shia and Sunni Inheritance Jurisprudence: A Comparative Analysis of Legal Doctrines and Familial Relationships
Authors: Elfia Elfia , Surwati Surwati , Nelli Fitra , Fajri Yan
Published: February 2025

The issue of inheritance has always been a focal point in society, particularly when addressing the bilateral principle, which ensures property distribution to male and female heirs in Islamic law. The difference in inheritance rights between men and women remains a subject of debate in both Sunni and Shia applications. Shia inheritance law emphasizes equity by granting women recognized inheritance rights alongside men at all levels, while Sunni law follows specific Quranic guidelines that often result in unequal shares. Shia jurisprudence accords women the same status and rights as men in terms of their recognition as legitimate heirs within the family hierarchy. This research examines the mechanisms of inheritance distribution in Shia jurisprudence through a gendered lens, focusing on its implications for women's rights and their position in Islamic inheritance frameworks. This normative legal research adopts a gendered approach to Islamic inheritance law. The secondary data related to Sunni and Shia inheritance rules were traced manually and online from OJS websites. The data were analyzed using content analysis and then narrated through data reduction, display, and verification techniques. The research found that the Shia concept of inheritance distribution involves two categories of heirs: dzawil furudh (heirs with fixed shares) and qarabah (relative heirs). Heirs not included as dzawil furudh (heirs with fixed shares) as specified in the Qur'an and Hadith are classified as qarabah, which includes both male and female relatives based on proximity to the deceased. In determining their rights, Shia addresses the issue of gender while still applying the provisions of the texts regarding the share of men and women. Men and women at the levels of descendants (furu'), parents (ushul), siblings, and parents' siblings (hawasyi) have recognized inheritance rights, with shares determined based on Quranic guidelines. Second, Shia inheritance law consistently applies the bilateral principle, ensuring that women are granted inheritance rights alongside men in accordance with the Quranic 2:1 distribution ratio. This highlights that from a gender perspective, Shia jurisprudence demonstrates a more inclusive approach toward women's inheritance rights, emphasizing equity and recognition within its legal framework.
A low noise biopotential amplifier intended for Cochlear Implant using FINFET 22nm technology
Authors: Katikala Hima Bindu , Shaik Sadulla
Published: February 2025

Electrical stimulus inside the ear to provide an auditory response using advanced prosthesis for the deaf people is a challenging task. Recent advance like cochlear implant prosthesis with in-built electrode array configuration converts the acoustic energy to the electrical stimulus. In this article, we discuss about the invention of different hearing aid designed for hearing impairment patient. A biopotential amplifier is utilised in the internal unit of a cochlear implant to reduce noise from the external unit and radio frequency components. It is designed using the advanced Fin Field Effect Transistor (FINFET) 22 nm technology and compare the results with conventional CMOS technology. The operating voltage applied to entire design is of 0.45v, the measured noise is of 133.0563 nv/√Hz at 50Hz frequency.
VACmap: An Accurate Long-Read Aligner for Unraveling Complex Genomic Rearrangements
Authors: Zhu Shanfeng , Ding Hongyu , Sedlazeck Fritz , Proukakis Christos , Morley Caoimhe , Toffoli Marco , Schapira Anthony , Liao Zhirui , Pu Lianrong
Published: February 2025

Inversions, duplications, and other critical medically challenging variations are often ignored by routine genetic analyses. This is due to the complexity of these alleles but also because of the inability to accurately align them with state-of-the-art methods. We introduce VACmap, a novel non-linear long-read mapping method designed to improve detection of these difficult genomic regions, including critical genes like LPA and GBA1, which are significant risk factors for cardiovascular disease and Parkinson’s disease, respectively.
Postoperative delirium in elective cardiac surgery is not associated with changes in peripheral cholinesterases
Authors: Zangl Quirin , Zinn Niklas , Kaiser Andreas , Bergmann Astrid , Hulde Niklas , Hagl Christian , von Dossow Vera
Published: February 2025

Background
Postoperative delirium (POD) is a common complication following elective cardiac surgery, with significant implications for patient outcomes and healthcare costs. The pathophysiology of POD is multifactorial, involving neuroinflammation and imbalances in the central cholinergic system.
Methods
This study evaluated the relationship between peripheral cholinesterase (AChE and BChE) activities and POD occurrence in 69 cardiac surgery patients (n=20 with delirium/ n=49 without). Cholinesterase levels were measured at six perioperative time points, and their correlations with POD and inflammatory parameters (CRP, IL-6, leukocytes) were assessed.
Results
Neither AChE nor BChE values ​​differed significantly between patients who experienced delirium and those without delirium (all p>0.05) during 6 perioperative time points. The course of AChE values of patients with POD was stable (n=20; p=0.266), whereas the course of perioperative AChE differed significantly in non-delirant patients (n=49; p=0.005). BChE values dropped significantly in both groups: both in the group of patients with POD (n=20; p<0.001) and in the group without POD (n=49; p<0.001) the BChE values ​​fell significantly in the postoperative course. Correlations between AChE and inflammation parameters (leukocytes, CRP and Il-6) were not significant, independent of the occurrence of delirium (all p >0.05). The values of BChE in correlation to inflammatory parameter was non-significant in delirious patients, whereas postoperative leukocyte values correlated significantly with the absence of delirium (day1 p<0.001 [n=48]; day2: p=0.024[n=48]; day3: p=0.005[n=47]).
Results
No significant differences in cholinesterase levels were found between delirious and non-delirious patients, nor were there significant correlations with inflammatory markers. While BChE levels showed perioperative decreases, these changes were not specific to POD.
Conclusion
As a clinical implication, it must be concluded that the measurements of cholinesterases have limited utility in predicting POD. Furthermore, cholinesterases seem to have limited value for the management of the course of POD and possible associations with inflammation as standalone biomarkers. However, larger studies are necessary to explore their potential role in indicating inflammatory states.
Impact of pembrolizumab on ovarian function in young triple negative breast cancer patients treated with chemo-immunotherapy
Authors: Perdrix Anne , Olympios Nathalie , Rouvet Jean , Degremont Marie , Fontaine Camille , Boitel Baptiste , Vion Roman , Leheurteur Marianne , Clatot Florian
Published: February 2025

Purpose: Pembrolizumab plus neoadjuvant chemotherapy (P-CT) is the new standard in early-stage triple-negative breast cancers (TNBC). Pembrolizumab impact on ovarian reserve remained unknown. We evaluated the impact of pembrolizumab on ovarian reserve, through plasmatic Anti-Müllerian (AMH) analysis, in young TNBC patients.
Methods: TNBC patients £43 years treated by P-CT whose plasma samples were available before and after treatment were included retrospectively (P-CT group). AMH, FSH and oestradiol were analysed before and after treatment, then compared to a retrospective cohort treated with CT alone (No-P group).
Results: P-CT patients (N=17) and No-P patients (N=67) had comparable median age, BMI, smoking exposure, BRCA status, oral hormonal contraceptive use and baseline AMH. One year after the start of treatment, AMH fell from 1.08 to 0.01 ng/mL (p<0.0001 vs baseline) and from 1.4 to 0.018 ng/mL (p<0.0001), in the P-CT and No-P groups, respectively. 9/17 P-CT patients, and 23/67 No-P patients, had undetectable AMH after treatment (p=0.3). FSH and oestradiol were comparable between the two groups, before and after treatment. Unlike the No-P group, no recovery of AMH was observed two years after treatment initiation in a limited sub-group of P-CT patients.
Conclusion: No supplementary impact of pembrolizumab to CT on AMH evolution was observed. The absence of AMH partial recovery 2 years after treatment initiation warrants vigilance.
Influence of different anesthetic depth on postoperative delirium in elderly pre-frail patients undergoing abdominal surgery
Authors: Chen Rongman , Hou Pengfei , Liu Wanxin , Mi Haiqi , Jia Shuaiying , Lin Jingyan
Published: February 2025

Purpose
Monitoring anesthetic depth may reduce the incidence of postoperative delirium in patients undergoing general anesthesia. This study investigated the impact of varying readings of Cerebral State Index (CSI) on postoperative delirium in elderly pre-frail patients undergoing abdominal surgery.
Methods
A total of 150 elderly pre-frail patients aged over 65 years scheduled for selective abdominal surgery under general anesthesia were enrolled. Pre-frailty was defined as a 5-Item Modified Frailty Index (mFI-5) score of 1–2. Patients in the light anesthesia (LA) group were maintained a CSI value between 50–59, while patients in the deep anesthesia (DA) group were maintained a CSI value between 40–49. The incidence of delirium within three days postoperatively, as well as visual analog scale (VAS) scores, postoperative nausea, vomiting, and the 15-item quality of recovery (QoR-15) scale scores on the first postoperative day were recorded and compared.
Results
The incidence of postoperative delirium was approximately 14% lower in the light anesthesia group compared to the deep anesthesia group (P < 0.05). The QoR-15 scale scores on the first postoperative day were significantly higher in the light anesthesia group than in the deep anesthesia group (P < 0.05). In contrast, the VAS scores over the three days following surgery were significantly higher in the deep anesthesia group than in the light anesthesia group (P < 0.05).
Conclusion
The elderly pre-frail patients under light anesthesia (with high CSI score) may have lower incidence of postoperative delirium and better outcome.
Trial registration:
ChiCTR2400083016, Date of registration: 15/04/2025.
Courtship and distress ultrasonic vocalizations are disrupted in a mouse model of Angelman syndrome
Authors: Guoynes Caleigh D. , Pavalko Grace , Sidorov Michael S.
Published: February 2025

Background
Angelman syndrome (AS) is a single-gene neurodevelopmental disorder caused by loss of function of the maternal copy of the UBE3A gene. Nearly all individuals with AS lack speech, resulting in major impacts on daily life for patients and caregivers. To evaluate new therapies for AS, it is crucial to have a mouse model that characterizes meaningful clinical features. Vocalizations are used in many contexts in mice, including pup retrieval, social interactions, courtship, and distress. Previous work in the Ube3am−/p+ mouse model of AS found abnormalities in the number of ultrasonic vocalizations (USVs) mice produced during pup isolation and same-sex social interactions. Here, we evaluated Ube3am−/p+ vocalizations during courtship and distress. Quantifying USVs in these contexts enables comparison of USVs in social (courtship) and non-social (distress) settings. In addition, we assessed the utility of incorporating USV testing into existing Ube3am−/p+ mouse behavioral assessments used to evaluate potential AS treatments.
Methods
We used a three-chamber social preference test for courtship vocalizations and a tail suspension test for distress vocalizations in adult wild-type (WT) and Ube3am−/p+ littermates, and quantified USV properties using the program DeepSqueak. Next, mice performed an established Ube3am−/p+ behavioral battery that included rotarod, open field, marble burying, and nest building. We used principal component analysis to evaluate the value of USV testing in the context of other behaviors.
Results
In both social courtship and nonsocial distress behavioral paradigms, Ube3am−/p+ mice made fewer USVs compared to WT mice. Spectral properties of USVs were abnormal in Ube3am−/p+ mice on the courtship test but mostly typical on the distress test. Including USVs in the Ube3am−/p+ mouse behavior battery increased the distance between Ube3am−/p+ and WT clusters in principal component space.
Conclusions
Ube3a m−/p+ mice have difficulty producing USVs in social and nonsocial contexts. Spectral properties of USVs are most impacted in the social courtship context. Adding USVs to the Ube3am−/p+ behavior battery may improve sensitivity to detect group differences and changes in communication.
Unlocking Scholarly Article Insights: Creating a Scholarly Article Content Extraction Tool –Objectives, Methodology, and a Comparative Analysis of Summary Results
Authors: Ma Wei , Spagna Michael E.
Published: February 2025

We developed an intuitive prototype scholarly article content extraction tool to help individuals and students extract key content from scholarly articles. Although scholarly articles typically include an abstract, they often lack depth. Existing summarization tools are not always user-friendly and often require setup and learning processes. Most existing tools are designed for the information industry to extract metadata and key content efficiently. This paper introduces our innovative Scholarly Article Content Extraction Tool (SACET), which extracts content from a single scholarly article and instantly returns an accurate natural language summary. SACET is accessible anytime/anywhere without setup or extensive learning. We compare SACET's summaries with those from ChatGPT, highlighting the differences, value, and uniqueness of our innovation. Publishing our innovation is crucial due to its potential to advance content extraction applications. This article discusses the objectives, architecture, content extraction methodology, underlying algorithms, operational workflow, and additional work needed to improve the tool.
Machine Learning Methods to Analyze the Relationship Between Dietary Trace Elements and Kidney Stones: from NHANES 2007-2020
Authors: Xiao Yuhua , Zhang Yali , Shi Zhouying , Xiao Yulan , Yuan Yue , Li Ping
Published: February 2025

The early detection of kidney stones usually improves treatment outcomes. This cross-sectional survey involved 33,267 adult participants. The aim was to investigate the relationship between dietary elements (P, Mg, Cu, K, Ca, Zn) and kidney stones. Studies have shown that an increase in trace minerals in the diet is linked to a decrease in the frequency of kidney stones. Specific saturation effects for dietary elements and kidney stones were determined using smoothed curve fitting and found to have an effect inflection point of 1.765 for P, 0.320 for Mg, 1.848 for Cu, 4.641 for K,1.567 for Ca, and 3.370 for Zn. Subgroup analyses showed that the majority of the dietary trace metal element intake remained consistent with the correlation with kidney stone risk. The key dietary elements identified using Boruta and LASSO regression were Cu, Mg, P, and Ca. Among them, the element Mg had a significant effect on the column-line model, and the ROC of the established nomogram model was 0.718 for the training set and 0.702 for the validation set, which showed the intake of adequate amounts of dietary elements or supplements can help prevent kidney stones.
Road mortality contributes to the evolution of an urban-rural cline in squirrel coat color
Authors: Parlin Adam F. , Cosentino Bradley J. , Lehtinen Richard M. , McDonald John E. , Sinclair Emma C. C. , Gibbs James P.
Published: February 2025

Cities impose unique selection pressures on wildlife and generate clines in phenotypic traits along urban-rural gradients. Roads, as a ubiquitous feature of human dominated landscapes, are a significant source of direct mortality for wildlife, but their role as a selective force in producing phenotypic trait variation along urban-rural clines is not known. This study tested the hypothesis that roads influence natural selection of coat color in the eastern gray squirrel (Sciurus carolinensis), a species for which vehicular collisions is a significant source of mortality. This species has two distinct coat colors: a gray morph that is common in all areas, and a melanic morph more prevalent in urban areas than in rural ones. We conducted standardized road cruise surveys to compare the proportion of each color morph among road-killed and living squirrels along an urbanization gradient in Syracuse, New York, USA. We also examined the prevalence of each color morph on and off road surfaces in a range-wide compilation of > 100,000 photographs of S. carolinensis. The prevalence of melanism among living squirrels in Syracuse was negatively related to distance from the city center, whereas there was no urban-rural cline in melanism among road-killed squirrels. The melanic morph was underrepresented among road-killed squirrels by up to 30% along the urbanization gradient. We also found the melanic morph was underrepresented among road-killed squirrels in the image database. Our study highlights vehicular collisions as an important cause of natural selection on phenotypic traits that can contribute to the maintenance of urban-rural clines.
Durchsetzung von Rechten und Beschwerdemöglichkeiten in der Heimerziehung
Authors: Hantke Benjamin , Knuth Nicole
Published: February 2025

Trotz umfangreicher Bemühungen, in der Heimerziehung die Rechte der jungen Menschen zu stärken, wird noch immer auf erhebliche Defizite bezüglich der Umsetzung dieses Anspruchs und auf die Notwendigkeit der Weiterentwicklung von Beschwerdemöglichkeiten verwiesen (vgl. Zukunftsforum Heimerziehung, 2021). Nicht zuletzt bleiben die mittlerweile zur Verfügung stehenden digitalen Möglichkeiten, Partizipation zu gestalten, weitestgehend ungenutzt (vgl. Feyer et al., 2020; Gravelmann, 2024; Hajok, 2023). Vor diesem Hintergrund stellt sich die Frage, wie digitale Medien dazu beitragen können, Kinder, Jugendliche und ihre Familien in der Heimerziehung über ihre Rechte und Beschwerdemöglichkeiten zu informieren und zu sensibilisieren. Können diese helfen, neue Formen des Austausches zu ermöglichen sowie institutionelle und gesellschaftliche Partizipations- und Teilhabemöglichkeiten zu verbessern? Beispielhaft werden erste empirische Erkenntnisse zu Anforderungen an digitale Tools in der Heimerziehung beschrieben, die im Rahmen eines Praxisentwicklungsprojekts (vgl. Biele, Knuth, & Hundenborn, 2023) erarbeitet wurden. Dabei werden insbesondere Möglichkeiten zur Anknüpfung an Lebenswelten und Medienhandeln junger Menschen in den Blick genommen und vor dem Hintergrund des Anspruchs einer partizipativen Heimerziehung diskutiert. Darauf folgend fasst der Beitrag Konsequenzen für die Ermöglichung von Aneignungsprozessen in der Heimerziehung zusammen und gibt Impulse für die Einbindung digitaler Medien in das professionelle Handeln von Fachkräften. Mit Blick auf rechtebasierte Ansätze geht der Beitrag davon aus, dass eine stärkere Fokussierung auf das Medienhandeln der Jugendlichen Möglichkeiten eröffnet, die über eine reine Medienkompetenzförderung hinausgehen und junge Menschen befähigt, ihre Rechte besser zu kennen und diese wahrzunehmen.
Interview mit Martin Geisler
Authors: Stix Daniela Cornelia , Schammer Helene , Bude Annemarie
Published: February 2025

Die Rubrik «Nach-Lese» beschäftigt sich in dieser Heftausgabe mit dem Sammelband «Fotopädagogik in der Sozialen Arbeit» der beiden Herausgeber Martin Geisler und Johannes Rück. Das Werk beleuchtet fotografische Prägungen, die Geschichte der Jugendfotografie und die Beziehung zwischen Fotografie und Wahrnehmung. Wichtige fotopädagogische Prozesse und künstlerische Zugänge sowie die Bedeutung des Porträts für die Identitätsarbeit werden behandelt. Auch rechtliche Grundlagen für die bildbasierte medienpädagogische Arbeit werden ausführlich erklärt. Mit zahlreichen praktischen Beispielen und einem umfassenden Repertoire an Methoden und Materialien, das durch ein interaktives Onlineangebot ergänzt wird, stellt dieses Buch eine wertvolle Ressource dar und trägt dazu bei, das Medium Fotografie stärker in den Kontext der Sozialen Arbeit zu integrieren. Um mehr über die Entstehung und die Beweggründe des Sammelbands zu erfahren, gibt im folgenden Interview Herausgeber Martin Geisler spannende Einblicke in seine Intention und die Arbeit an dem Werk.
Digitalisierung im Curriculum kompetenzorientiert umsetzen
Authors: Remke Sara , Schiffhauer Birte
Published: February 2025

Der Beitrag erläutert, wie Digitalisierung im Curriculum Soziale Arbeit auf Bachelorniveau kompetenzorientiert mitgedacht werden kann, indem Digitalisierung als Thema der Sozialen Arbeit für diese Niveaustufe an den Qualifikationsrahmen Soziale Arbeit (DQR SozArb) angeknüpft wird. Hierfür fließen Ergebnisse aus Lehrevaluationen von Seminaren rund um das Thema Digitalisierung an der Katholischen Hochschule Nordrhein-Westfalen (katho) aus den vergangenen vier Jahren (2020–2024) ein sowie die Auseinandersetzung mit dem DQR SozArb (FBTS 2016), die im Rahmen eines Vernetzungstreffens Lehrenden mit dem Schwerpunkt «Digitalisierung und Soziale Arbeit» als Impuls vorgestellt wurden. Der Fachbereichstag Soziale Arbeit selbst plant eine Aktualisierung des DQR SozArb. So versteht sich dieser Beitrag auch als eine offene Diskussionsgrundlage für den Themenkomplex Digitalisierung in diesem Kontext. Der Beitrag stellt somit keine inhaltliche Diskussion oder Positionierung zu Begriffen und Konzepten von Digitalisierung, Digitalität etc. dar, sondern versucht, auf hochschulstruktureller Ebene Impulse zu geben.
Quantitative Befragung von Fachkräften der Schulsozialarbeit zum Umgang mit Sozialen Medien in Baden-Württemberg
Authors: Jahn Josephine
Published: February 2025

In der vorliegenden Arbeit werden Empfehlungen für professionelles Handeln und individuelle Professionalisierung von Fachkräften der Schulsozialarbeit im Hinblick auf den Umgang mit Sozialen Medien formuliert. Die Empfehlungen gründen einerseits auf bestehenden Theorien zum Gegenstand. In dem hierfür erforderlichen theoretischen Teil der Arbeit werden Theorien zu Professionalität, professionellem Handeln, Professionalisierung, Schulsozialarbeit, Mediatisierung sowie Sozialen Medien in der Schulsozialarbeit dargelegt. Andererseits werden die Empfehlungen aus dem empirischen Teil dieser Arbeit abgeleitet, der eine quantitative Befragung der Schulsozialarbeiter:innen in Baden-Württemberg darstellt. Hier werden in die Berechnung deskriptiver Statistiken, Korrelationen sowie logistischer Regressionen N = 1522 Fälle einbezogen, um fünf Fragestellungen zu beantworten.Demnach erfolgt die Ableitung der Empfehlungen erstens durch eine theoretische Betrachtung des Themas und ist zweitens durch eine quantitative Befragung der Fachkräfte empirisch fundiert. Es werden Empfehlungen auf Ebene der konkreten beruflichen Handlungssituation, der Institutionen, der Berufsorganisation sowie der politischen und öffentlichen Handlungsebene benannt.
Editorial
Authors: Stix Daniela Cornelia , Witzel Marc , Beranek Angelika , Endter Cordula , Haberstroh Max , Pudelko Thomas , Roeske Adrian , Späte Julius
Published: February 2025

Die tiefgreifenden Veränderungen aller Lebensbereiche durch Digitalisierungsprozesse scheinen kaum länger besonders erwähnenswert. Allerdings bleibt die Frage, wie die Disziplin der Sozialen Arbeit aktiv gestaltend in diese Entwicklungen eingreifen kann, bislang weitgehend unbeantwortet. Statt lediglich auf Veränderungen zu reagieren, sollte es für Soziale Arbeit darum gehen, Entwicklungen aktiv mitzugestalten. Bislang wird der Digitalisierungsdiskurs in der Sozialen Arbeit in weiten Teilen von Akteur:innen außerhalb der Disziplin geprägt – Medienpädagog:innen, Sozialwissenschaftler:innen und IT-Expert:innen prägen die Debatten, während die Soziale Arbeit oftmals lediglich reagiert.Unsere Motivation, diese Zeitschrift ins Leben zu rufen, entspringt der Überzeugung: Es braucht eine Plattform, die der Sozialen Arbeit eine Stimme verleiht und die spezifischen Herausforderungen und Chancen der Digitalisierung aus der Disziplin heraus beleuchtet.
Digitalisierung im Diskursraum der Fachzeitschriften Sozialer Arbeit
Authors: Haberstroh Max
Published: February 2025

Der Beitrag nähert sich dem Diskurs um Digitalisierung über die Analyse von Metadaten von Artikeln aus Fachzeitschriften der Sozialen Arbeit. Dabei werden bereits bestehende Systematisierungsversuche, die sich überwiegend auf Monografien und Sammelbände sowie Rezensionen dieser beschränken, um den Diskursraum der Fachzeitschriften ergänzt und Hypothesen aus vorangehenden Systematisierungen empirisch überprüft.Die Nachzeichnung zur Entwicklung des Diskurses kann anhand der Metadatenanalyse in vielen Punkten bestätigt und um weitere Perspektiven ergänzt werden. In anderen quantitativen Verfahren identifizierte Leerstellen in Bezug auf Online-Beratung und Sozialinformatik können durch die Erweiterung der Analyse auf Zeitschriftenartikel ergänzt werden. Die Analyse zeigt auch, dass sich Digitalisierung als Querschnittsthema aufgrund zunehmend heterogener thematischer Bezüge im Diskursraum etablieren konnte. In Bezug auf diskurstheoretische Perspektiven werden offene Fragen thematisiert und münden in der These, dass Digitalisierung als Begriff in der Sozialen Arbeit noch nicht eindeutig und widerspruchsfrei definiert ist.
Bedarf und Eigenlogik Digitaler Sozialarbeit
Authors: Wiedel Fabian , Dinar Christina
Published: February 2025

Der Beitrag adressiert wesentliche Fragestellungen im Kontext einer Digitalisierung Sozialer Arbeit. Dabei werden globale Systemstrukturen gleichermaßen behandelt wie spezifisches, arbeitspraktisches Handeln. Es geht zunächst darum, Aussagen über Wünsche und Bedarfe nach digitalen Angeboten in den Kernzielgruppen Sozialer Arbeit zu treffen. Weiterhin wird reflektiert, inwiefern sich die Methoden und Kompetenzen einer Digitalen Sozialarbeit an die Dynamiken und Handlungslogiken virtueller Handlungswelten anpassen müssen. Schließlich wird untersucht, wie eine erfolgreiche Zielgruppenansprache, ein tragfähiger Beziehungsaufbau sowie adressat:innenorientierte Beratungsleistungen im Digitalen erfolgen können. Die Basis für diese mehrstufige Diskussion bildet die empirische Projektevaluation der Digitalen Sozialarbeit im Projekt Zukunftswelten der Stuttgarter Jugendhaus Gesellschaft. Sieben qualitative Leitfaden-Interviews mit Projektbeteiligten (auch Träger, Geldgeber und ein kooperierendes Soziales Netzwerk) und eine quantitative Inhaltsanalyse von 155 Chat-Protokollen aus der Digital Streetwork auf der Plattform Jodel ermöglichen umfassend Einblick in die Handlungspraxis. Die Befunde zeigen, dass Angebote Digitaler Sozialarbeit aktiv von Heranwachsenden eingefordert werden. Das Always-Online-Prinzip und die stark referenzielle Content-Produktion in der digitalen Kommunikation verlangen von Digitalen Sozialarbeiter:innen ein hohes Maß an Flexibilität und Street Credibility. Die (Teil)Anonymität im Digitalen erleichtert den Einstieg in Beratungsgespräche und reduziert gleichzeitig deren Verbindlichkeit. Digital Streetwork treibt die Professionalisierung Digitaler Sozialarbeit als Pionierfeld substanziell voran, muß jedoch eigene Fachstandards weiterentwickeln und bedarf der verstetigten Verschränkung mit bestehenden Unterstützungsstrukturen.
Growth and yield of cassava in low fertility Latosol soil with various doses of NPK fertilizer
Authors: Suwarto  , Nurrazaq Gani , Amal Ikhlasul , Harahap Said Arsandi Naim , Diaguna Ridwan
Published: February 2025

High cassava productivity needs adequate soil nutrients. This study is to determine the optimum dose of NPK fertilizer in cassava on Latosol soil with low fertility. This experiment used the dose of NPK fertilizer as a single treatment factor. Five treatment levels of the fertilizer dose, namely 0%, 50%, 100%, 150%, and 200% of NPK standard dose tested using a randomized block design and four replications. The NPK standard dose was 135-72-130 kg ha-1. The experimental plot of 8 m x 5 m was divided into 8 beds with a length of 5 m and planted with 40 cuttings. Fertilizer sources used were NPK (17-6-25), Urea (45% N), and SP-36 (36% P2O5). The three kinds of fertilizer were mixed and applied in the grooves around the plants at a distance of 10 cm. At planting time, the plants fertilized with 1/3 dose of NPK (17-6-25), 1/2 dose of Urea, and 1 dose of SP-36. At 2 months after planting (MAP), the plants fertilized with 1/3 dose of NPK (17-6-25) and 1/2 dose of Urea. The 1/3 dose of NPK (17-6-25) fertilized to plants at 4 MAP. Plant height, stem diameter, number of leaves, lobe length, and lobe width were observed every month from 2 to 5 MAP. The number and weight of tubers were observed at 6, 7, 8, 9, and 10 MAP. There was a quadratic response of stem diameter, number of leaves, number of tubers, and tuber weight to the dose of NPK. The response of the variable is used to determine the optimum NPK dose. The optimum NPK dose of cassava on Latosol low fertile soil is 126% of the standard NPK dose, namely 170 kg N, 91 kg P, and 164 kg K per hectare. The optimum NPK dose produced 53.8 tons ha-1 of cassava tubers.