bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hubungan Dukungan Sosial Dengan Self Compassion Pada Mahasiswa Di Masa Pandemi Covid-19
Authors: Harnas Fanny Anggriani , Gustriani Tiara , Azra Muhammad Zein 
Published: January 2023

<p><strong>The Relationship between Social Support and Self Compassion for Students During the Covid-19 Pandemic.</strong> This study aims to determine the relationship between social support and self-compassion for students in the COVID-19 pandemic. The sample in this study amounted to 270 students (male 19.3% and female 80.7%) Faculty of Psychology UIN Suska Riau with a sampling technique using stratified random sampling. The data collection method in this study used a social support scale and a self-compassion scale. based on the results of the product moment correlation analysis obtained a correlation value of 0.462 with a significance of 0.000. The results showed that the hypothesis was accepted, which means that there is a relationship between social support and self-compassion for students during the COVID-19 pandemic. Further researchers can conduct research on one of the components of self-compassion, namely mindfulness and the type of social support, namely appreciation support.</p><p> </p><strong>Keywords</strong>: <em>Social Support, Self-compassion, Covid-19 Pandemic</em>
Detector dog training shows companion-dogs rapidly remember the what and where of instinctively significant scents
Authors: Adams Graham Joseph 
Published: January 2023

Companion dogs with no previous experience were trained in a drug detector dog adapted method to recognise the scents of ‘prey’ animals and allowed to sleep in their natural habitat, at home with their owners. After each of two consecutive nights sleep they were evaluated on the next days. We tested their declarative memory (knowing that) and also procedural memory (knowing how), by using chase-and-fetch training and testing routines, which involved walking and running around as well as sniffing. All dogs were able to remember what their trained-for scents were and most dogs were also able to remember where their trained-for scents were against distractors. There were indications that scent memory could be reinforced and can be further learned that day. After training, when dogs were denied their day time and evening sleeps and instead provided with stimulating activities, surprisingly they still showed no ‘first-night-effect’ (of disrupted sleep and subsequent memory reduction) and successfully found their trained-for scents, which was attributed either to their robust short sleep-wake cycles, them being highly motivated and being in their natural habitat. Our evidence showed that after training (using their dominant sense of smell) our dogs showed all the aspects of sleep including both NREM and REM and demonstrated their declarative and especially their procedural memories on subsequent days. There was no significant difference in the number of sleep sessions per hour, the time asleep, the sleep session length, the percentage of time in REM or REM latency between normal day and night sleep compared with denied day/evening and normal night sleep.
These findings provide a further indication of dogs’ sense of self when applying the same criteria for humans. There was a sign that REM sleep in old dogs is not reduced when they are monitored at home. We believe that it is possible for companion dog owners whose dogs’ enthusiastically fetch, to readily train their own dogs by this method
Cardiac Activity Impacts Cortical Motor Excitability
Authors: Al Esra , Stephani Tilman , Engelhardt Melina , Haegens Saskia , Villringer Arno , Nikulin Vadim 
Published: January 2023

Abstract
Human cognition and action can be influenced by internal bodily processes such as heartbeats. For instance, somatosensory perception is impaired both during the systolic phase of the cardiac cycle and when heartbeats evoke stronger cortical responses. Here, we test whether these cardiac effects originate from overall changes in cortical excitability. Cortical and corticospinal excitability were assessed using electroencephalographic and electromyographic responses to transcranial magnetic stimulation while concurrently monitoring cardiac activity with electrocardiography. Cortical and corticospinal excitability were found to be highest during systole and following stronger cortical responses to heartbeats. Furthermore, in a motor task, hand-muscle activity and the associated desynchronization of sensorimotor oscillations were stronger during systole. These results suggest that systolic cardiac signals have a facilitatory effect on motor excitability – in contrast to sensory attenuation that was previously reported for somatosensory perception. Thus, distinct time windows may exist across the cardiac cycle that either optimize perception or action.
Reinforcement learning inspired forwarding strategy for information centric networks using Q-learning algorithm
Authors: Delvadia Krishna Samarth , Dutta Nitul 
Published: January 2023

Abstract
Content interest forwarding is a prominent research area in Information Centric Network (ICN). An efficient forwarding strategy can significantly enhance the user level performance parameters such as data retrieval latency. It also helps to minimize the origin server load, network congestion and overhead. Reinforcement learning is widely accepted for taking efficient routing decisions in network. This paper introduces a Q-learning driven forwarding strategy in ICN for interest packets. We have investigated the feasibility of exploiting reinforcement learning mechanism named Q-Learning for Named Data Network (NDN) paradigm of ICN. By revising Q-Learning mechanism to address the inherent challenges related to overhead and latency for content retrieval, this paper introduces design and implementation of Q-Learning based forwarding mechanism. It aims to gain learning through historical events and selects best mechanism to forward interest. The performance investigation of proposed protocol is carried out using simulator named ndnSIM-2.0. Outcomes are compared by integrating proposed protocol with LCD (Leave Copy Down), LCE (Leave Copy Everywhere, CL4M (Cache Less for More) and ProbCache (Probability driven caching). Protocol behaviour is also compared against recent routing and forwarding mechanisms. The considered performance parameters are data retrieval delay, server hit rate, network overhead, network throughput and network load. The experimental outcomes conclude that integration of proposed forwarding strategy to state-of-the-art protocols lead to performance enhancement up to 10–35%. The integrated protocol variants are also sensitive to any changes in network compared to existing approaches.
Respiratory virus infections of the lower respiratory tract elevate bronchoalveolar lavage eosinophil fraction: a clinical retrospective study and case review
Authors: Nabeya Daijiro , Setoguchi Michika , Ueno Shiho , Kinjo Takeshi 
Published: January 2023

Abstract
Background:Eosinophilic airway inflammation caused by respiratory virus infection has been demonstrated in basic research; however, clinical investigations are lacking. To clarify the extent to which respiratory viral infection induces airway eosinophilic inflammation, we reviewed the results of bronchoalveolar lavage (BAL) and respiratory virus testing performed at our hospital.
Methods: Among the BAL procedures performed at our hospital from August 2012 to September 2016, we collected cases of acute respiratory disease in which multiplex polymerase chain reaction (PCR) was used to search for respiratory viruses. The effect of respiratory virus detection on the eosinophil fraction of BAL was analyzed using statistical analysis. A case study of respiratory virus detection in which the eosinophil fraction of BAL was elevated was also conducted.
Results: A total of 95 cases were included in this study, of which 17 were PCR-positive. The most common respiratory virus detected was parainfluenza virus (eight cases). The PCR-positive group showed a trend toward a higher eosinophil fraction in BAL fluid than the PCR-negative group (p=0.030), and more cases had a BAL eosinophil fraction >3% (p=0.017). Multivariate analysis showed that PCR-positive cases were associated with BAL eosinophil fractions >1% and >3%. There were nine PCR-positive cases with a BAL eosinophil fraction >1%, of which two cases with parainfluenza virus infection had a significantly elevated BAL eosinophil fraction and were diagnosed with eosinophilic pneumonia.
Conclusions: A trend toward an elevated eosinophil fraction in BAL fluid was observed in cases of viral infection of the lower respiratory tract. The degree of eosinophilic fraction elevation due to respiratory viral infection was mild overall, whereas some cases showed prominent elevation and were diagnosed with eosinophilic pneumonia. Respiratory viral infection is not a rare cause of elevated BAL eosinophilic fraction and should be listed as a differential disease in the practice of eosinophilic pneumonia.
Methods and guidance on conducting, reporting, publishing and appraising living systematic reviews: a scoping review
Authors: Iannizzi Claire , Akl Elie A , Anslinger Eva , Weibel Stephanie , Kahale Lara A , Aminat Abina Mosunmola , Piechotta Vanessa , Skoetz Nicole 
Published: January 2023

Abstract
Background and objective:
The living systematic review (LSR) approach is based on an ongoing surveillance of the literature and continual updating. Most currently available guidance documents address the conduct, reporting, publishing and appraisal for systematic reviews (SRs), which is not suitable for LSRs and misses additional LSR-specific considerations. The scoping review allows the mapping of the existing evidence on the topic to support LSRs authors seeking guidance and identifying related gaps. The objective of this scoping review is to systematically collate methodological literature and guidance on how to conduct, report, publish and appraise the quality of LSRs.
Methods
Standard scoping review methodology was used. We searched MEDLINE, EMBASE, and Cochrane Library using the OVID interface, until 28 August 2021. As for searching grey literature, we looked for existing guidelines and handbooks on LSRs from organizations that conduct evidence syntheses using the Lens.org website. Screening was conducted by two authors independently in Rayyan and data extraction was done in duplicate using a pilot tested data extraction form in Excel. Data was extracted according to four pre-defined categories on (i) conducting, (ii) reporting, (iii) publishing and (iv) appraising LSRs.
Data synthesis:
The data was mapped in visualizing overview tables created in Microsoft Word. Of the 21 included papers, we could extract data for a total of 40 of our pre-defined LSR-specific sub-items.
Conclusion
There is good methodological guidance available for conducting and publishing LSRs and more lacking guidance on reporting and appraising LSRs.
Prevalence, Clinical Characteristics, and Impact of Headache on Daily Activities of Medical Students at the University of Sharjah in the United Arab Emirates: A Community-based Research
Authors: Azrak Omar Ahmed Talal , Hashem Anas Mohamad , Al-Ali Maryam , Khouly Mai Al , Kilani Mohammad Munzer , Taher Mina , Khalouf Amani , Mahmoud Amir 
Published: January 2023

Abstract
Background
Headache is one of the most common and debilitating neurological disorders. As it is highly common and impacts the quality-of-life and academic performance of medical undergraduates, it is essential to uncover the prevalence, clinical characteristics, and perceived triggering factors of headache among medical students at the University of Sharjah in the United Arab Emirates. We aim to conduct this cross-sectional study that aids in discovering factors influencing the frequency and severity of headache which can guide healthcare providers to early detect, counsel, and treat it.
Method
Self-administered questionnaires were distributed among 471 medical students from Medicine, Pharmacy, and Health Sciences from September 2019 and May 2020. Data was analyzed by JMP Pro-14 using Chi-square, t-tests, and ANOVA. MIDAS was adopted, with some modifications, for measuring headache impact.
Results
A total of 471 students (75.2% females) participated. The prevalence of headache was 84.9% with a higher incidence among Medicine (p = 0.001), wearing eyeglasses (p = 0.033) and in a higher year of study (p = 0.026). Among those who experienced headaches recently, most had one headache episode per month (35%), for less than an hour (46.5%), described it as tightness (46.1%) and frontal in location (35.5%). Frequent headache sufferers had prolonged episodes (p < 0.001), during the afternoon (p < 0.0001), throbbing and severe in nature (p < 0.001). A significant reduction in academic performance (p = 0.0075) and routine activities (p = 0.028) were noticed. Stress or tension and too little sleep were the most common triggering factors. For the management of headaches, sleeping and relaxation were the most used by respondents.
Conclusion
Due to the stressful university life, headache is commonly experienced by a majority of undergraduates, especially Medicine students. The high prevalence of the headache and its incapacitating symptoms on medical students’ academic performance necessitate more attention from the healthcare providers to take serious steps towards early headache detection and intervention.
Investigation of Bedaquiline Resistance and Genetic Mutations in Multi-Drug Resistant Mycobacterium tuberculosis Clinical Isolates in Chongqing, China
Authors: Hu Yan , Fan Jun , Zhu Damin , Liu Wenguo , Li Feina , Li Tongxin , Zheng Huiwen 
Published: January 2023

Abstract
Background
To investigate the prevalence and molecular characterization of bedaquiline resistance among MDR-TB isolates collected from Chongqing, China.
Methods
A total of 205 MDR-TB isolates were collected from Chongqing Tuberculosis Control Institute between March 2019 and June 2020. The MICs of BDQ were determined by microplate alamarblue assay. All strains were genotyped by melting curve spoligotyping, and were subjected to WGS.
Results
Among the 205 MDR isolates, the resistance rate of BDQ was 4.4% (9/205). The 55 (26.8%) were from male patients and 50 (24.4%) were new cases. Furthermore, 81 (39.5%) of these patients exhibited lung cavitation, 13 (6.3%) patients afflicted with diabetes mellitus, and 170 (82.9%) isolates belonged to Beijing family. However, the distribution of BDQ resistant isolates showed no significant difference among these characteristics. Of the 86 OFX resistant isolates, 8 isolates were XDR (9.3%, 8/86). Six BDQ resistant isolates (66.7%, 6/9) and two BDQ susceptible isolates (1.0%, 2/196) carried mutations in Rv0678. A total of 4 mutations types were identified in BDQ resistant isolates, including mutation in A152G (50%, 3/6), T56C (16.7%, 1/6), GA492 insertion (16.7%, 1/6), and A274 insertion (16.7%, 1/6). BDQ showed excellent activity against MDR-TB in Chongqing.
Conclusions
BDQ showed excellent activity against MDR-TB in Chongqing. The resistance rate of BDQ was not related to demographic and clinical characteristics. Mutations in Rv0678 gene were the major mechanism to BDQ resistance, with A152G as the most common mutation type. WGS has a good popularize value and application prospect in the rapid detection of BDQ resistance.
Status of Deforestation of Madagascar
Authors: Suzzi-Simmons Amanda 
Published: January 2023

Abstract
Several studies have reported tree cover loss at an unprecedented rate in Madagascar because of human population expansion which affects biodiversity, ecosystems, and weather patterns. Here we examine deforestation in Madagascar over the past 20 years (2001-2021). Time-series analysis of Landsat images empirically show that Madagascar, which covers an area of about 59 million hectares (230,000 square miles), has lost 4.85 million hectares of tree cover since 2000, equivalent to a 25% decrease in tree cover, and a gross estimate of 2.52 gigatonnes of CO2e – carbon dioxide equivalent greenhouse gas emissions. Without breaking the intertwined cycle of poverty and deforestation, increasing rates of extinction will continue to impact Madagascar's flora and fauna.
An Evaluation of the Mine Water Inrush Based on the Deep Learning of ISMOTE
Authors: zhang ye , Tang shoufeng , Shi Ke , Tong xiaming 
Published: January 2023

Abstract
In order to establish an effective coal mine floor water inrush prediction model, a neural network prediction method of water inrush based on an improved SMOTE algorithm expanding a small sample dataset and optimizing a deep confidence network was proposed. ISMOTE is used to enlarge the coal mine's measured data collection, while PCA is used to minimize the data's dimension. DBN is used to extract water inrush data features and estimate water inrush danger in coal mines. As the water inrush samples are small, they cannot provide enough information about the occurrence of water inrush accidents, which affects the DBN analysis of water inrush accidents, reduces the prediction accuracy, and causes safety hazards when mining in the coal mines. An improved SMOTE algorithm is used to expand the dataset. The DBN network is used to extract the secondary features of the nonlinear data after processing. Finally, a prediction model is established to predict coal mine water inrush. The superiority of this method is verified by the comparison between the actual condition and the prediction of the measured working face in a typical mining area in North China. The prediction accuracy of coal mine water inrush obtained by the model proposed in this paper is 94%, while the prediction accuracy of traditional BP algorithm is 70%, and the prediction accuracy of SAE algorithm is 91%, better than the rates of other methods. The findings of this study can be used to better predict and analyze coal mine water inrush accidents, improve the accuracy of water inrush accident prediction, and encourage the use of deep learning in coal mine floor water inrush prediction, all of which have theoretical and practical implications.
Cell-penetrating porcine single-chain antibodies (transbodies) to nonstructural protein 1β (NSP1β) of PRRSV inhibit the virus replication
Authors: Thueng-in Kanyarat , Theerawatanasirikul S. , Meechan P. , Lekcharoensuk P. , Chaicumpa W. 
Published: January 2023

Abstract
Porcine Reproductive and Respiratory Syndrome Virus (PRRSV), causes porcine reproductive and respiratory syndrome (PRRS) worldwide, especially among domestic pigs with enormous economic impact for the pig industry. Current vaccines confer limited effectiveness while no direct-acting anti-PRRS is available. Non-structural protein (NSP) 1β, a cysteine-like protease (CLPro) of PRRSV is pivotal for viral polyprotein processing, subgenomic RNA synthesis and evasion of host innate immunity. Therefore, agent that interferes with the NSP1β bioactivities should lead to the virus replication inhibition. In this study, a porcine scFv-phage display library was constructed and used as a tool for production of NSP1β-specific porcine scFvs (pscFvs). The pscFvs to NSP1β were linked to a cell-penetrating peptide to form cell-penetrating pscFvs (transbodies). The transbodies could internalize and inhibit PRRSV replication in the infected cells. Computerized-simulation indicated that the effective pscFvs used several residues in multiple complementarity determining regions (CDRs) to interact with many residues in the CLPro and C-terminal motifs, which might explain the mechanism of the pscFvs-mediated virus replication inhibition. Although experiments are needed to verify the anti-viral mechanism of the transbodies, current data provide evidence for developing the transbodies further for treatment and prevention of PRRSV infection.
Quality of life, social support, and adherence in female patients with thyroid disorders
Authors: Kollerits Eliza , Zsila Ágnes , Matuszka Balázs 
Published: January 2023

Abstract
Background
According to the 2010 European Health Interview Survey, 51% of women in Hungary have a chronic disease, and the overall health status of the Hungarian population is poorer than in other European countries. Thyroid diseases affected more than 650,000 women in 2021 based on a recent report by the Hungarian Central Statistical Office. Despite the high prevalence rates, quality of life in these patients is scarcely researched in Hungary. To fill this gap, this study aims to explore the associations of the quality of life of thyroid patients in Hungary with social support and adherence.
Methods
A cross-sectional study was conducted via an online questionnaire. Data from 1058 Hungarian women (M = 36.2 years, SD = 10.9, age range: 18–74 years) were analyzed. Participants were divided into four patient groups based on the type of thyroid disorder: hypothyroidism (n = 392; 37.1%), Hashimoto's thyroiditis (n = 588; 55.6%), hyperthyroidism (n = 36; 3.4%), and Graves’ disease (n = 42; 4.0%). Group comparisons, correlations, and mediation models were performed to explore differences between thyroid patients.
Results
No differences were found between patients with different types of thyroid diseases in quality of life, adherence, and social support. Consistent, weak associations were found between these mental health indicators. Higher perceived social support partially explained the relationship between adherence and life quality in patients with hypothyroidism and Hashimoto’s thyroiditis.
Conclusions
No substantial differences were found between patients with different types of thyroid disease in mental well-being indicators. These patients are more psychologically vulnerable and need a socially supportive environment to recover, because higher adherence can lead to a better quality of life, and social support can facilitate this process.
1ppm-detectable hydrogen gas sensors by using highly sensitive P+/N+ single-crystalline-silicon thermopile
Authors: Li Xinxin , Zhang Haozhi , Jia Hao , Ni Zao , Li Ming , Chen Ying , Xu Pengcheng 
Published: January 2023

Abstract
Hydrogen (H2) has been of strategic importance nowadays in pursuing a decarbonized, environmental-benign, sustainable global energy system, however, the explosive nature of H2 demands leakage monitoring to ensure a safe application in industry. Therefore, H2 gas sensors with high sensitivity and fast response across a wide concentration range are crucial yet technically challenging. In this work, we demonstrate a new type of MEMS differential thermopile gas sensor for highly-sensitive, rapid detection of trace H2 gas in air. Facilitated by a unique MIS fabrication technique, pairs of single-crystalline silicon thermopiles (i.e., sensing and reference thermopiles) are batch fabricated with high-density single-crystalline silicon thermocouples, yielding a outstanding temperature sensitivity at the sub-mK level. Such devices ensure the detection of tiny temperature changes due to catalytic reaction of H2 with a detection limit down to ~1 ppm at an operating temperature of 120°C. The MEMS differential thermopiles also exhibit a wide linear detection range (1 ppm-2%, more than four orders of magnitude) and fast response and recovery time of 1.9s and 1.4s, respectively, when detecting 0.1% H2 in air. Moreover, the sensors show good selectivity against common combustible gases and volatile organics, good repeatability, and long-term stability. The proposed MEMS thermopile H2 sensors hold promise for the trace detection and early warning of H2 leakage for a wide range of applications.