bluuebunny/crossref_metadata_2025_split huggingface dataset:
Odpady z przemysłu tekstylnego jako nośnik azotu organicznego dla sektora ogrodniczego
Authors: Ciesielczuk Tomasz 
Published: November 2024

Zjawisko fast fashion generuje co roku znaczne masy odpadów tekstylnych. Tylko w Europie to 12,6 mln Mg z czego ubrania i obuwie to 5,2 mln Mg. Jednym ze sposobów ich zagospodarowania jest recykling materiałowy, gdzie w procesach rozwłókniania, przędzenia i tkania powstanie nowa tkanina, jednak udział tak przetwarzanych odpadów wynosi 1% masy. Innym sposobem jest zagospodarowanie mające na celu poprawę własności gleb poprzez zastosowanie modyfikowanych fizycznie i chemicznie odpadów i wykorzystanie jako polepszacza glebowego. W pracy badano możliwość zastosowania odpadowej tkaniny bawełnianej jako nośnika organicznego nawozu azotowego o zrównoważonym działaniu. Skrawki odpadowej tkaniny bawełnianej o gramaturze 408g/m2 nasycano gorącym roztworem kolagenu, który po wysuszeniu stanowił 1/3 masy próbek. Tak przygotowane skrawki, zastosowano jako nawóz dla gleby lekkiej o składzie granulometrycznym piasku gliniastego. Zastosowano przemywanie wodą deszczową o temperaturze 20oC. Azot zawarty w kolagenie został uwolniony w ciągu 42 dni do roztworu glebowego, przy czym maksimum stężeń przypadło na okres 4-6 dnia po aplikacji. Dodatkową zaletą uzyskanego materiału jest naturalna pojemność wodna bawełny, co jest istotne z punktu widzenia gromadzenia wody w glebach lekkich. Równolegle, zaobserwowano powolną degradację tkaniny bawełnianej, która po 3 miesiącach inkubacji rozpadała się na fragmenty. Zastosowana modyfikacja odpadowej tkaniny bawełnianej daje możliwość zagospodarowania odpadów tekstylnych jako nośnik nawozu, co pozwoli na zmniejszenie masy odpadów bawełnianych kierowanych do spalania lub składowanych.
FORECASTING FIRE RISK VALUES USING MACHINE LEARNING AND TIME SERIES ANALYSIS
Authors: Rakhmatullina Elina F. , Permyakov Arseniy V. , Khafizov Ildar F. , Khafizov Fanil Sh. 
Published: November 2024

The probability of occurrence of emergencies and their consequences can be minimized by predicting events that contribute to the emergence of such a situation. An optimal and useful tool for such prediction and forecasting can be modeling, which can be carried out on the basis of information technology using computer programs.The methods of modeling and forecasting emergencies related to fires are the same as for other emergencies, but there are some specifics. The forecast of emergencies related to fires is aimed at three main stages: 1. forecasting the probability of occurrence with the determination of the place of the highest probability of fire occurrence, time and factors contributing to it; 2. forecasting the development of the situation and the spread of the fire (direction, speed) when it occurs, the process itself; 3. forecasting the consequences of a fire at a specific facility.The forecast is made based on the analysis of all possible unfavorable factors, their fields of action, features of the facility, its fire hazard and other data.The use of machine learning methods and time series analysis for forecasting fire risk values is substantiated. The possibility of using statistical methods of mathematical modeling of fire occurrence as the basis of the machine learning model is noted. This approach enables the machine learning model to process and analyze a large amount of statistical information for specific time periods and issue forecasts.
Biomedical Engineering Literature: Advanced Reading Skills for Research and Practice
Authors: Shoraka Zahra Baradaran 
Published: November 2024

Medical engineering is a field of study that combines biological and medical sciences with engineering to develop improved healthcare technologies. It is imperative that you possess a deep understanding of both the material and the technical language used in this rapidly advancing field in order to effectively grasp key topics and navigate the rapidly expanding literature. This paper examines the future of the biomedical engineering profession through the lens of advanced reading strategies. It starts with the assertion that biomedical engineering literature presents three challenges: the level of density is technical, the area is interdisciplinary, and the growth of knowledge is exponential.
In the view of the above challenges, the paper discusses various advanced reading skills in relation to biomedical engineers. These skills include the ability to critically read scientific texts, both at a fast pace for an overview and in detail for deeper understanding, to identify key ideas and methodologies relevant to the field, and to assess the validity of scientific claims and data representations. The paper also aims at pointing out how separate elements like the use of systematic reviews, of meta-analysis, of data visualization tools that complement reading, help the researcher in the process of managing gathered information from various sources.
This paper describes teaching these skills for both academic and professional practice, with examples of how improved reading competencies can enhance research quality and contribute to innovations in medical technologies, tissue engineering, and clinical trials. Furthermore, the paper aims to discuss the future trends due to the increasing incorporation of continuous learning for addressing the challenges posed by novel technologies including artificial intelligence and nanotechnology that define the future of biomedical engineering.
biomedical engineering students require the acquisition of higher order reading skills in preparation for information reading: national and international publications in the engineering profession, policy and technology in support of health care delivery systems, product development, and other purposes. The ideas stated and demonstrated in this paper should be practical to both beginning scholars and veteran professionals in the biomedical engineering field as well as useful for seminar and workshop participants in seminars and workshops on biomedical engineering literature.
The effectiveness of cognitive behavioral therapy in enhancing emotion regulation among Santri: A literature review
Authors: Gustama Rosyid Arfan , Hidayah Nur , Wahyuni Fitri 
Published: November 2024

Individuals face daily challenges that can evoke negative emotions like anxiety, sadness, and anger, requiring adaptive coping strategies to maintain mental well-being. When individuals are unable to respond adaptively, they may develop maladaptive behaviors, increasing their psychological distress. This study aims to explore the factors associated with maladaptive behaviors and the effectiveness of adaptive coping strategies in managing these responses. Using a systematic literature review, the researchers identified, screened, and analyzed relevant studies. The SLR involved defining research questions, applying inclusion and exclusion criteria, and assessing study quality, resulting in the selection of 10 key articles from an initial pool of 26. Findings suggest that adaptive coping strategies, such as cognitive-behavioral approaches, effectively reduce maladaptive behaviors and bolster emotional resilience. This review highlights the importance of integrating adaptive strategies in educational and therapeutic settings to help individuals navigate stressors and reduce maladaptive responses. Further research is recommended to develop accessible interventions for promoting resilience in everyday life.
Keywords: Behavioral therapy; cognitive; effectiveness; emotion regulation.
The Importance Of The Unified Text In Teaching Arabic To Non-Speakers In The Light Of Language Skills Correlation/ أهمية النص الموحد في تعليم اللغة العربية للناطقين بغيرها في ضوء ترابط المهارات اللغوية
Authors: Alkaaideh Ala' Hussein , Othman Mohd Ala uddin 
Published: November 2024

The present study aims to provide a systematic vision for teaching Arabic to non-speakers to develop the learner's educational performance and to bring the learner to the highest possible linguistic level sufficiently and efficiently. This teaching approach is represented by unifying the teaching text in light of language skills integration. The importance of this approach comes from its influential role in simplifying the process of teaching Arabic to non-speakers. The study adopted the analytical survey process, in which a questionnaire was distributed to students in the first semester of the academic year 2023/2024. The study sample consisted of 203 students studying Arabic for non-native speakers at the Language Centre at the University of Jordan. The study's results confirmed the effectiveness of unified teaching text in the light of language skills correlation. The findings also revealed the positive role of this process in enhancing the linguistic sufficiency of Arabic non-native learners. Text unity and the correlation of language skills effectively teach languages, enabling learners to promote their linguistic level sufficiently and efficiently. Therefore, the present study recommends adopting this approach in the language teaching process and raising the awareness of language teachers of the importance of it.
Literature Study: Babesiosis in Dogs in The Period of 2013-2023
Authors: Nithaquin Aina Dzatun , Prasetyo Dodik , Widyaputri Tiara , Noviatri Aldila 
Published: November 2024

Background: Babesiosis is an infectious disease caused by Babesia spp. with tick vectors Rhipicephalus sanguineus and Dermacentor margniatus (a tick-borne disease). Babesiosis transmission occurs through tick bites or blood transfusions. Diagnostic techniques involve the microscopic examination of blood smears, hematology, blood chemistry, and PCR laboratory analysis. Purpose: To determine the clinical symptoms, confirmation of diagnosis, and therapy used for babesiosis conditions in dogs. Method: Analysis was conducted on 22 literature cases of babesiosis in dogs with a publication period of 2013-2023. The analysis was carried out using the descriptive analysis method, a problem-solving procedure that describes the condition of the subject or object based on facts, characteristics, and any relationships between the phenomena being investigated. Qualitative research methods were used to examine natural object conditions, as a key instrument. Data source sampling was done purposively, the data collection techniques were combined, the data analysis was either inductive or qualitative, and qualitative research results emphasize meaning. Result: Dog patients with babesiosis have the highest prevalence of clinical symptoms, namely anorexia (62.5%), vomiting (33.3%), pyrexia (54.16%) lethargy (45.83%), brownish urination (29.16%), and ectoparasite infestation (29.16%). Confirmation of the diagnosis carried out included the microscopic examination of blood smears (100%), hematology (91.66%), blood chemistry (41.66%), and Polymerase Chain Reaction (PCR) (20.83%). The therapeutic management used included 3 combinations of antibiotics in 7 cases (31.81%), combination therapy of 2 antibiotics and an antiparasitic in 3 cases (13.63%), and combination therapy of 1 antibiotic and antiparasitic in 3 cases (13.63%). Conclusion: Antiparasitic therapy that can be used is imidocarb dipropionate, which works by inhibiting inositol in the erythrocytes infected with Babesia spp. and diminazene aceturate, which works by disrupting parasite DNA synthesis.
PENGARUH PEMLASTIS GLISEROL DAN SORBITOL TERHADAP KARAKTERISTIK BIOPLASTIK BERBAHAN PATI UBI MBOTE
Authors: Hamzah Imron , N Lailatin , S Gancang 
Published: November 2024

Bioplastik merupakan plastik biopolimer berbahan dasar pati yang mudah terdegradasi oleh mikroorganisme tanah dan dapat menjadi alternatif pengganti plastik konvensional. Pati ubi jalar Mbot berpotensi sebagai bahan baku pembuatan bioplastik dengan penambahan gliserol dan sorbitol sebagai plasticizer. Penelitian ini bertujuan untuk mengetahui pengaruh pemlastis dengan volume yang berbeda. Tahapan pembuatan bioplastik adalah pembuatan pati, pencampuran bahan dan plasticizer, pemanasan, pencetakan dan pengeringan. Pemlastis yang digunkan yaitu gliserol dan sorbitol dengan variasi komposisi pemlastis 0, 0,6, 0,9, 1,2, 1,5 ml. Hasil penelitian menunjukan kuat tarik maksimum bioplastik pemlastis gliserol (56,12±0,06) MPa dengan elongasi (5,23±1,43) %, untuk bioplastik dengan sorbitol, nilai kuat tarik maksimumnya adalah (70,66±0,09) MPa serta memiliki nilai elongasi (7,85±0,08). Hasil maksimum uji degradable pemlastis gliserol diperoleh pada volume 1,2 yaitu 46,93 %, sedangkan untuk kemampuan degradabilitas sebesar 3,28 mg/hari dan waktu yang dibutuhkan untuk hancur selama 14 hari 9 jam, pemlastis sorbitol diperoleh pada volume 1,2 yaitu 61,4 %, untuk waktu degradibilitas sebesar 5 mg/hari dan waktu yang dibutuhkan untuk hancur selama 11 hari 4 jam. Hasil maksimum uji lingkungan pemlastis gliserol diperoleh pada volume 0,9 sebesar 20,00±0,39 %, untuk pemlastis sorbitol diperoleh pada volume 1,5 sebesar 14,00±0,51 %.

Kata kunci : Pemlastis Gliserol dan Sorbitol, pati Ubi Mbote, Bioplastik
No Difference in Outcomes, Complications, or Revision Rate for Obese vs. Nonobese Patients Following Hip Resurfacing Arthroplasty
Authors: Shanaa Jean , Asad Shaheryar , Bindra Guneet S. , Augustynski Robert , Marwin Scott 
Published: November 2024

Background:
Hip resurfacing arthroplasty (HRA) offers numerous benefits over total hip replacements such as increased preservation of natural bone, improved range of motion, and lower dislocation risks. However, patient selection is crucial, with factors such as bone quality, activity level, and body mass index (BMI) playing significant roles. Obesity in particular poses challenges, potentially increasing mechanical load on the joint, complicating surgical techniques, and affecting both immediate and long-term outcomes. The aim of this systematic review was to evaluate outcomes of HRA in obese vs. nonobese patients to determine if obesity should be considered a contraindication to HRA or if similar treatment approaches can be applied.

Methods:
A literature search was conducted using PubMed, Embase, and Scopus databases with specific search terms related to HRA and obesity. Articles were screened by title and abstract, followed by full-text review. Data extraction focused on demographic and study variables such as sex, age, BMI, complication and revision rates, and patient-reported outcomes. A meta-analysis was performed using a random-effects model to compare University of California Los Angeles (UCLA) scores, Harris hip scores, complication rates, and revision rates between obese and nonobese patients, with significance set at p < 0.05.

Results:
From an initial pool of 39 articles, 4 met inclusion criteria, encompassing 1,385 patients. Analysis revealed a pooled mean age of 50.92 years and a complication rate of 9.83% in obese vs. 4.7% in nonobese patients. Revision rates were 1.15% for obese and 3.70% for nonobese patients. The difference in postoperative UCLA scores, complication rates, and revision rates were deemed not statistically significant.

Conclusion:
The comparability in patient-reported outcomes, complication rates, and revision rates between obese and nonobese cohorts suggests that although heightened vigilance and tailored approaches may be warranted in obese patients, obesity alone should not preclude patients from undergoing HRA. These findings advocate for a more nuanced approach to patient selection, emphasizing individualized assessment over generalized BMI cutoffs. Future HRA research should focus on long-term follow-up and larger cohort studies to further validate these results.

Level of Evidence:

Level III, systematic review of Level II and III studies. See Instructions for Authors for a complete description of levels of evidence.
Magma chamber longevity on Mars and its controls on crustal structure and composition
Authors: Chatterjee Arka , Huber Christian , III James Head , Bachmann Olivier 
Published: November 2024

Abstract

In volcanically active planetary bodies, the depths and longevity of crustal magma storage critically control eruptibility and crustal composition. A paucity of relevant observations and models has challenged our understanding of the development of crustal magma storage systems in Mars and their role in the apparent lack of evolved compositions. Here, we use numerical modelling, together with recent results from the InSight mission, to study the evolution of crustal magma chambers on Mars and conditions that promote their growth and eruptibility. We find that the Martian crust can be divided, by depth, into three major domains. For Elysium Planitia (the InSight landing site), at depths ≤15km (~1.5kbar), trapped magma pods are small, short-lived, with high diking potential, hindering the production of evolved compositions. While depths >25km (~2.5kbar) can host long-lived magma chambers, 15-25km (~2 ± 0.5kbar) marks a transition where magma chambers could grow while concurrently expelling magma. Interestingly, this narrow depth window overlaps with the depth of an intra-crustal discontinuity reported by InSight, suggesting a possible magmatic origin for the discontinuity. We further show that the crustal thermal gradient strongly controls this transition depth, indicating the possible variability of the domain depths in different terrains. Our results also support the likelihood of deep-seated magmatism beneath the seismically active Cerberus Fossae, suggesting that magmatism continues to play a major role in shaping the Martian crust.
WITHDRAWN: Comparative investigation of vapour compression-triple effect absorption cascade refrigeration system operating with different refrigerants in vapour compression cycle
Authors: Naga Sakshi , Rajput SPS 
Published: November 2024

Abstract

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
RLion: A Refined Lion Optimizer for Deep Learning
Authors: Rong Jian , Ma ChenHao , Zhang QingHui , Cao Yong 
Published: November 2024

Abstract

Optimization algorithms play a fundamental role in training neural networks. The optimizer focuses on the updating weights ofmomentum and velocity on learning rates and losses, furthermore the complexity of the optimizer and the quantity of updatedparameters are considered. In this paper, a RLion(Refined Lion Optimizer) based on the Lion optimizer is denoted with ascaleable factor α and arctan operation to denote the update rule θt = θt−1 − ηt ( 2π arctan(α ∗ ˆmt ) + λ θt−1). arctan is continousmonotonic function and its expectation, variation are less than those of sign, also the θ ’s fluctuation of RLion is less than that ofLion. The higher α, the convey faster. The RLion is able to smooth out the fluctuations, converge faster and more reliable.The FasterNet, EfficientNetV2 and the YOLO_V8 with ImageNet1k dataset are trained without warm up for classificationleveraging the RLion optimizer. Object detection with Vision Transformers on Caltech 101 dataset and the DeepLabV3+ forsemantic segmentation on camera data are trained with AdamW, Lion and RLion optimizer too. Compared to the AdamWand Lion optimizer, the loss and accuracy present the RLion can promote the validation accuracy about 0 ∼ +20% higher thanAdamW on many models even the learning rate is as high as AdamW. The RLion has better convergence performance andversatility.
The Risk of Exposure and Psychological Impact of COVID-19 in healthcare workers at the primary level in the Greater Accra Region of Ghana: A Cross-Sectional Study.
Authors: Allotey Naa Korkor , Adams Sherifdeen 
Published: November 2024

Abstract

Background
Since the onset of the COVID-19 pandemic, both lives and livelihoods have been profoundly impacted, particularly in the healthcare sector. In Ghana, healthcare workers have faced an increased risk of contracting the virus and its potentially fatal consequences due to their close contact with infected patients, leading to significant mental and emotional distress. This study assesses the risk of exposure and the psychological impact of COVID-19 on healthcare workers at the primary level in the Greater Accra Region of Ghana.
Methods
The study employed a cross-sectional design, collecting data from 97 healthcare workers in primary health facilities within the Greater Accra Region. Mental health conditions were assessed using the Patient Health Questionnaire 9-item, the Impact Event Scale 6-item and the Generalized Anxiety Disorder 7-item scale. To assess healthcare workers' risk of exposure to COVID-19, participants responded to a set of questions based on the WHO’s cardinal symptoms of the virus. Data were analysed using STATA version 15, with results presented through frequencies, percentages, and both univariate and multivariate logistic regression. Statistical significance was set at 0.05, with 95% confidence intervals assessed.
Results
Healthcare workers experienced an increased exposure to COVID-19 and were at risk (82.5%) of contracting the COVID-19 pandemic. Yet mental health issues were significantly improved except for depression (71.1%) among healthcare workers. Family avoidance, alcohol use, and job categories (such as CHOs, public health nurses, and others) were significantly related to anxiety, depression, and stress among healthcare workers during the peak of the COVID-19 pandemic. Family avoidance in particular was significant for both anxiety AOR = 8.17 and stress AOR = 25.71.
Conclusion
The majority of healthcare workers experienced increased exposure to COVID-19 and were at risk of contracting the COVID-19 pandemic. Participants in the age range of 30–39 years, Females, those with tertiary education, CHNs, and those with less than 5 years of working experience confirmed or felt depressed, anxious, and stressed among healthcare workers at the primary levels during the COVID-19 Pandemic. The health system must acknowledge the adverse psychological effects on primary healthcare workers and take practical measures to address them, such as ensuring the availability of PPE.
Psychological characteristics of in-group favoritism in internet altruistic behavior transmission
Authors: Chen Huiping 
Published: November 2024

Abstract

“Pay-it-forward reciprocity” refers to the phenomenon of altruistic behavior being transmitted between strangers when one stranger shows goodwill toward a third party. This study implemented two experiments to explore the characteristics of Internet altruistic behavior transmission (IABT). Experiment 1 (participants: n = 312, college students, mean age = 20.11 years, SD = 1.45) used a specifically-designed situational questionnaire and situational recall tasks to examine whether Internet altruistic behavior (IAB) can be transmitted between strangers. Results showed that the level of IAB in the experimental group was higher compared to that of participants who did not experience IAB from strangers. That is, individuals who received online help from others tended to then help other strangers later on. Experiment 2 (participants: n = 274, college students, mean age = 19.68 years, SD = 1.02) investigated whether an in-group favoritism effect was present in IABT, and revealed that individuals showed a greater degree of IABT toward in-groups than to outgroups. These findings are consistent with the self-classification theory, which says that individuals categorize themselves into different groups based on similarities and differences with others, and are inclined to adopt behaviors that align with the identity of the categorized group, this implies that individuals are more likely to transmit IAB to their in-group.