bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autoregulation Does Not Provide Additional Benefits to a Mixed Session Periodized Resistance Training Program in Trained Men
Authors: Bartolomei Sandro , Francesco Laterza , Latini Davide , Hoffman Jay R. 
Published: May 2024

Abstract
Bartolomei, S, Francesco, L, Latini, D, and Hoffman, JR. Autoregulation does not provide additional benefits to a mixed session periodized resistance training program in trained men. J Strength Cond Res 38(9): 1535–1542, 2024—The aim of this investigation was to study how autoregulation impacted training volume, performance, and muscle size on a 10-week mixed session periodized (MSP) resistance training program, characterized by the inclusion of different training foci in each session. Twenty-four resistance trained men were assigned to an autoregulated mixed session periodized (AMSP group; n = 13; age = 26.2 ± 4.9 y; body mass = 82.0 ± 8.7 kg; height = 176.8 ± 6.0 cm) or into an MSP (n = 11; age = 24.0 ± 2.6; body mass = 81.3 ± 10.5 kg; height = 174.0 ± 5.4 cm) group. Subjects in both groups trained 5 days per week for 10 weeks and performed the same exercises. The difference between the groups consisted in the use of a perceived recovery-based scale to adjust the individual training volume in the AMSP program. Maximal strength (bench press and squat 1 repetition maximum), power (bench press throw and countermovement jump), and muscle architecture (muscle thickness [MT] of biceps brachii, trapezius, vastus lateralis and vastus medialis) were collected before and after the 10-week training period. In addition, training volume and session load were calculated for each training session. A higher total training volume (p < 0.001) was seen in AMSP program compared with MSP program, but no differences (p > 0.05) were noted in the average session load. No significant differences between the groups were detected for MT of both upper-body and lower-body muscles (p's > 0.05) and lean body mass (p = 0.681). No significant differences between the groups were detected for any strength or power measurements. Results of this study indicate that a perceived recovery-based AMSP training program was not more effective than an MSP training program for increasing muscle size and performance in resistance trained men.
Emergency Department Evaluation of Young Infants With Head Injury
Authors: Lyons Todd W. , Mannix Rebekah , Monuteaux Michael C. , Schutzman Sara A. 
Published: May 2024

OBJECTIVES
We compared the emergency department (ED) evaluation and outcomes of young head-injured infants to older children.

METHODS
Using the Pediatric Health Information Systems database, we performed a retrospective, cross-sectional analysis of children &lt;2 years old with isolated head injuries (International Classification of Diseases, 10th Revision, diagnoses) at one of 47 EDs from 2015 to 2019. Our primary outcome was utilization of diagnostic cranial imaging. Secondary outcomes were diagnosis of traumatic brain injury (TBI), clinically important TBI, and mortality. We compared outcomes between the youngest infants (&lt;3 months old) and children 3 to 24 months old.

RESULTS
We identified 112 885 ED visits for children &lt;2 years old with isolated head injuries. A total of 62 129 (55%) were by males, and 10 325 (9.1%) were by infants &lt;3 months of age. Compared with older children (12–23 months old), the youngest infants were more likely to: Undergo any diagnostic cranial imaging (50.3% vs 18.3%; difference 31.9%, 95% confidence interval [CI] 35.0–28.9%), be diagnosed with a TBI (17.5% vs 2.7%; difference 14.8%, 95% CI 16.4%–13.2%) or clinically important TBI (4.6% vs 0.5%; difference 4.1%, 95% CI 3.8%–4.5%), and to die (0.3% vs 0.1%; difference 0.2%, 95% CI 0.3%–0.1%). Among those undergoing computed tomography or MRI, TBIs were significantly more common in the youngest infants (26.4% vs 8.8%, difference 17.6%, 95% CI 16.3%–19.0%).

CONCLUSIONS
The youngest infants with head injuries are significantly more likely to undergo cranial imaging, be diagnosed with brain injuries, and die, highlighting the need for a specialized approach for this vulnerable population.
Latin theonyms and epithets in the light of epigraphic evidence: The case and declension system
Authors: Vágási Tünde 
Published: May 2024

AbstractThe present paper intends to provide a linguistic analysis of votive texts, with particular regard to the case and declension systems as well as their Latin usage and variants. The aim of the linguistic analysis is to identify variations occurring in the context of votive texts. The epigraphic corpus shows various Vulgar Latin features in theonyms and epithets. The names of the deities are cultural characteristics and are influenced by various factors. The inevitable phenomenon of Roman religiosity manifested itself in religious texts, especially where polytheistic religions were particularly prone to borrowing and assimilation. In the investigation, some questions which the study will attempt to answer: do the case and declension confusions of theonyms and epithets follow the characteristics of the given region? The most common feature of religious inscriptions is that the declension of an epithet follows the declension of the name of the deity and vice versa. Another characteristic is the confusion in the case system. Some of these are influenced by facts other than adjective and noun agreement. In some cases, the meaning of the name influences it, in other cases there are cultural reasons for the declension confusion, especially if the inscriptions come from Celtic, Germanic, Greek, or other language areas.
Estimación de la distribución espacial de los bosques perturbados en Chiapas, México, usando datos satelitales e información auxiliar
Authors: Castillo-Santiago Miguel ángel , Mondragon-Vazquez Edith , Espinosa-Jiménez Flor Rocío , Escobar-Flores Rosa Elena , García-González Rafael , Domínguez-Vera Roberto , Chanona-Pérez Sandra Patricia , Mas Jean Francois , Hernández-Stefanoni José Luis 
Published: May 2024

Background: Maps of disturbed forests help to identify impacts on biodiversity and ecosystem services. Methods using only spectral data to detect disturbance at the regional level have limitations, but expert knowledge and fragmentation analysis can improve estimation.
Questions: What is the distribution of disturbed forests in a region of high biodiversity, and which vegetation types and regions are most affected?
Data description: SPOT 2015, Sentinel-2 satellite imagery from 2019. Vegetation data were collected at 653 sites. In addition, herbarium, agricultural census, and National Forest Inventory data were used.
Study site and dates: Chiapas State, during 2018-2022.
Methods: We elaborated a hybrid map of vegetation types, emphasizing identifying secondary forests. Also, we carried out a fragmentation analysis and calculated the woody biomass per forest type.
Results: 40 % of the State still maintains tree cover, but only 12 % is undisturbed; most undisturbed forests are in three regions: Selva Lacandona, Sierra Madre, and Gulf Plain. Overall, the biomass of disturbed forests is significantly lower than that of their mature counterparts.
Conclusions: In Chiapas, the distribution of forests with good conservation status is restricted; almost half of them are outside NPAs, so it is imperative to promote additional strategies for their conservation and management.
Tratamiento con metformina previene la adiposidad de la médula ósea femoral inducida por un síndrome metabólico experimental en ratas
Authors: Lasalvia Siro , Sedlinsky Claudia , Schurman León , McCarthy Antonio Desmond , Wanionok Nahuel Ezequiel 
Published: May 2024

Objetivo. Determinar el efecto de un tratamiento con metformina (MET) sobre la predisposición adipogénica de células progenitoras de médula ósea (CPMO), adiposidad de la médula ósea y propiedades biomecánicas óseas. Materiales y métodos: 20 ratas Wistar machos adultos jóvenes fueron separados en cuatro grupos, recibiendo en agua de bebida: 100% agua (C); 20% de fructosa (F); metformina 100 mg/kg peso/día (M); o fructosa más metformina (FM). Tras cinco semanas se sacrificaron los animales, se diseccionaron ambos húmeros para obtener CPMO, y ambos fémures para evaluar adiposidad medular (histomorfometría) y propiedades biomecánicas (flexión a 3 puntos). Las CPMO se cultivaron in vitro en medio adipogénico para evaluar expresión de RUNX2, PPAR-γ y RAGE por RT-PCR, actividad de lipasa y acumulación de triglicéridos. Resultados. La dieta rica en fructosa (grupo F) produjo un aumento tanto de triglicéridos in vitro, como de la adiposidad medular in vivo; siendo parcial o totalmente prevenido por un co-tratamiento con metformina (grupo FM). No se observaron diferencias en las pruebas biomecánicas femorales in vivo, ni en actividad de lipasa y relación RUNX2/PPAR-γ in vitro. La DRF aumentó la expresión de RAGE en CPMO, siendo prevenido por co-tratamiento con MET. Conclusiones. El síndrome metabólico inducido por una dieta rica en fructosa aumenta la adiposidad medular femoral y, en parte, la predisposición adipogénica de las CPMO. A su vez, esto puede ser prevenido total o parcialmente por un co-tratamiento oral con MET.
Pengaruh Penambahan Onggok Singkong Terhadap Sifat Fisik, Kimia, Sensori dan Kesukaan Bakso Kacang Merah
Authors: Widiyatun Umi Nur , Ardiyani Elfitri Sarah , Abduh Setya Budi Muhammad , Al-Baarri Ahmad Ni'matullah 
Published: May 2024

The texture of structured protein such as meat analogue is distinct due to non-fibrous protein plant protein. Onggok contains dietary fiber which can improve the fibrous texture of meat analogue. The aim of this study was to determine the effect of onggok on the physical, chemical, sensorial properties and consumer preference of restructured red bean protein. The product was made by mixing red bean flour, tapioca, spices followed by boiling for 8 min. In addition, onggok as much as 0, 2, 4, and 6% (w/w) was used as the treatment. Meatball from beef was used as a control. Subsequently, the yield, cooking loss, WHC, water content, total solids, protein, fat, texture, fiber, sensory and preferences of the product were tested and analyzed using ANOVA and PCA. The results showed that the addition of onggok up to 6% had no effect (p0.05) on the water content, WHC, cooking loss, total solids, protein, adhesiveness, springiness, cohesiveness, and preferences, while increased (p0.05) the yield, fat, fiber, and hardness. The restructured red bean protein is lower in water content, WHC, fat, protein, sensory and preference than meatballs. PCA analysis showed different clusters between both the meatballs, which was in line with the ANOVA results
Proses Saponifikasi Minyak Kelapa dan Ekstrak Kulit Pisang untuk Pembuatan Handsoap Antibakteri dan Penyembuhan Luka
Authors: Bakhri Syamsul , Suryanto Andi , Zainal Zakinah , Fidya Nurul 
Published: May 2024

This banana peel can be used as a raw material for antiseptic drugs and can also be used as an extract in the manufacture of liquid anti-bacterial soap and wound healing. This study aims to determine the effect of coconut oil and banana peel extract in inhibiting microbial growth, and the effectiveness of hand soap in wound healing. And to determine the effect of coconut oil and banana peel extract on hand soap on organoleptic tests, irritation tests, moisture tests, pH tests and foam tests. This research was started by preparing banana peel extract by maceration method, then coconut oil was heated to a temperature of 70°C. KOH solution is added to the coconut oil mixture. After a solid mixture, the soap base is heated by steaming for 3 hours until it becomes clear. After neutral hand soap, citric acid was added to the hand soap, then added banana peel extract formulations with concentrations of (K-) 0, (F1) 100, (F2) 126, (F3) 150 and (F4) 175 grams in each formula. This hand soap has an inhibitory effect on Staphylococcus Epidermidis (SE) bacteria 20 mm which is categorized as very strong, and in terms of wound removal, this liquid soap has the potential to be good at removing wounds. The hand soap produced has a distinctive color and smell, and has a liquid texture. Does not cause irritation to the skin, has a moisturizing effect on the skin, has a pH according to SNI where the set pH range is 8-10, and has foam according to SNI, namely 13-220 mm
Inflammatory myofibroblastic tumour
Authors: Garg Khushboo , Gaur Monika Madaan , Dabla Annu , Dahiya Ritu 
Published: May 2024

Inflammatory myofibroblastic tumor (IMT) is a rarely described tumor of unknown etiology and pathogenesis. An IMT may occur in almost any part of the body, from the central nervous system to the limbs, and has nonspecific clinical manifestations. Histologically these lesions appear as an inflammatory infiltrate within a variable myofibrotic background. We here present a case of 67-year-old woman who presented with vague abdominal mass and her TAH with BSO was done in view of preoperative diagnosis of ovarian malignancy, which after histopathology came out to be IMT of pelvis.
Implementasi Flipped Classroom di SMA Al Muayyad Surakarta Pada Pembelajaran Fisika Gerak Harmonik Sederhana
Authors: Ridho Malik Rosyid , Raharjo Dwi Teguh , Supurwoko Supurwoko 
Published: May 2024

<p><em><span>The Classroom Action Research conducted at Al Muayyad High School to improve students' cognitive abilities in terms of student activeness by using a flipped classroom learning model. The subjects of this research are 30 students. Data collection techniques are carried out using cognitive test instruments, observation sheets, and interviews both online and offline. The student activeness studied consists of 5 aspects, namely Visual, Oral, Listening, Writing and Mental. Student activeness data was collected using observation instruments and student cognitive ability data was collected using cognitive test instruments. The action was carried out in 2 cycles, each cycle consisting of planning, action, observation and reflection stages. Aspects of student visual activeness in the pre-cycle amounted to 25%; cycle I amounted to 66%; cycle II amounted to 88%. The aspect of students' oral activeness at pre-cycle was 38%; cycle I was 48%; cycle II was 64%. The aspect of student listening activity in the pre-cycle was 60%; cycle I was 70%; cycle II was 88%. The aspect of student writing activity in the pre-cycle was 45%; cycle I was 61%; cycle II was 80%. The aspect of students' mental activeness in the pre-cycle was 35%; cycle I was 67%; cycle II was 86%. While the results of students' cognitive abilities that were completed at the pre-cycle were 3%; cycle I was 14%; cycle II was 90%. Learning with a flipped classroom can improve students' cognitive abilities in terms of the activeness of class X students of SMA Al Muayyad Surakarta.</span></em></p>
Time series analysis on Alpha, Delta, and Omicron waves of COVID-19 infections in Indian provinces
Authors: Yadav Subhash Kumar , Mehra Maneesha , Mishra Harsh Raj , Akhter Yusuf 
Published: May 2024

Abstract

The capacity to forecast the pandemic growth has been crucial in making decisions on how to combat and control COVID-19 spread in current and future waves of infection. Since the phenomenon was developed over time, we have analyzed the COVID-19 confirmed, recovered, and death cases in Indian provinces through time series analysis to comprehend the growth patterns of these cases. For a better explanation and prediction of COVID-19 dissemination, we have used the well-known ARIMA(Auto Regressive Integrated Moving Average) time series model. The COVID-19 cases from Jan 31, 2020, to Jan 30, 2022, having three waves of Alpha, Delta, and Omicron variants of SARS-CoV-2 were analyzed through time series regression models in India for all 28 states (provinces) and 8 union territories (directly federally governed territories). The analysis could aid in the development of more effective intervention programs and the mitigation of the current and future waves of the pandemic.
AMS Classification
37M10 Time series analysis of dynamical systems
62M10 Time series, auto-correlation, regression, etc. in statistics
Fault Diagnosis for Power Grids Based on Stochastic Self-Regulating Algorithm Under Disaster-Causing Weather
Authors: Wang Tao , Liu Liyuan , Ying Ruixuan , Zhou Chunyu 
Published: May 2024

Abstract

In recent years, due to shifts in the global climate and environment, a variety of extreme weather events have become more frequent, resulting in numerous accidents. The increased occurrence of extreme weather not only poses risks to the functioning of the power grid but also impacts the accuracy of power grid fault diagnosis outcomes. By integrating research on power grid fault risks during extreme weather events, this study introduces weather data and self-check information to develop a fault diagnosis approach for the power grid based on a random self-regulating algorithm. The fault diagnosis method comprises two main components: Firstly, an analytical model for fault diagnosis is constructed using alarm data, weather information, and self-check data from the affected power outage area. Three types of self-adjusting trust factors are incorporated into the model to enhance its fault diagnosis capabilities in the context of extreme weather events. Subsequently, a random self-regulating algorithm is applied to optimize the model and generate a hypothesis regarding the fault. Through a simulation test on a sample calculation, the results demonstrate that the fault diagnosis method exhibits robust fault tolerance towards abnormal operation of protective devices and inaccuracies in alarm data.
Modeling the dynamics of social preparedness with regional interactions to explore efficient flood early warning systems
Authors: Kotani Hitomu , Ogawa Wataru , Matsushima Kakuya , Susaki Junichi , Sawada Yohei 
Published: May 2024

Abstract

Flood early warning systems (FEWS) play a crucial role in mitigating flood damage. To optimize their effectiveness, it is important to understand how people respond to warnings and prepare for flooding events. The key factors influencing social preparedness include (1) direct and (2) indirect experiences of floods and (3) trust in warnings. However, existing socio-hydrological models do not incorporate all these elements. To include these elements for social preparedness, we propose a stylized model that allows multiple regions to influence one another (i.e., regional interactions). We investigate the dynamics of social preparedness in a society composed of regions with varying infrastructure levels (e.g., levee heights) and explore strategies for developing a socially efficient FEWS. Numerical analyses reveal that in a society that has a region characterized by a low infrastructure level (i.e., a region with frequent floods), regional interactions lead to a pronounced cry wolf effect due to false alarms from other regions, diminishing social preparedness in the low-infrastructure region. These interactions also prevent a warning strategy that optimizes the natural science-based index (i.e., threat score) from maximizing social efficiency. Conversely, in a society that has a region characterized by a high infrastructure level (i.e., a region with infrequent floods), regional interactions enhance the efficiency of FEWS by improving social preparedness through indirect experiences with floods. These findings suggest that as regional heterogeneity increases, it becomes increasingly vital for forecasters to consider social aspects (e.g., people's experiences, trust, and interactions) when establishing a socially efficient FEWS.
Analysing Tourist Experiences in Response to AI-Based Digital Technologies Adaption: A Logistic Regression Analysis in Case of Uzbekistan
Authors: Singh Gurinder , Chaudhary Naina , Ather Danish , Kler Rajneesh , Arora Manik 
Published: May 2024

Abstract

This study analyzes how AI-enabled digital technologies including VR and AR have changed manner of travelers' experiencing in Uzbekistan. This study employs a logistic regression model with a binary logarithm to review the opinions of 207 international visitors representing a number of countries towards digital apparatus and how they impacted their vacation experience. The data was gathered for the period from the years 2014 to 2022 about the total international visitors and their average money they spent per person. Also, the tourists’ opinions about the influence of the AI tools in their traveling experience were polled. It is evident from the results that these elements act as the major determinants of tourists' largely positive attitudes toward digital services. Russian, Turkmen, Kazakhstan, Afghanistan and German, which stands out by having the highest probabilities of positive experience (88–93 percent). The model that has R-squared value of 48% argues that the number of visitors and how wealthy they are on average play roles as significant determinants of the willingness to support digital technology in the tourism business. This study gives us an insight into how AI-based digital tools can make a difference in a tourism trip and fosters a better understanding of the industry.
Comparative assessment for risk and turn-around time between sequence-based typing and next-generation sequencing for HLA typing
Authors: Cha Jae Hyun , Hur Mina , Kim Hanah , Yun Seung Gyu , Nam Myung-Hyun , Cho Yunjung , Nam Minjeong 
Published: May 2024

Abstract

Background: This study compared laboratory risk and turn-around time (TAT) between sequence-based typing (SBT) and next-generation sequencing (NGS) for human leukocyte antigen (HLA) typing.
Method: Risk assessment utilized the risk priority number (RPN) score based on failure mode and effect analysis (FMEA) and a risk acceptability matrix (RAM) according to Clinical Laboratory Standards Institute (CLSI) guidelines (EP23-A). Total TAT was documented for the analytical phase, and hands-on time was defined as manual processes conducted by medical technicians.
Results: NGS showed a significantly higher total RPN score than SBT (1,171 vs. 465). NGS indicated higher mean RPN score, indicating elevated severity and detectability scores than SBT (RPN 26 vs. 19, P=0.001; severity 5 vs. 4, P=0.005; detectability 5 vs. 4, P<0.001, respectively). NGS required a greater number of steps than SBT (46 vs. 25 steps), all of which were acceptable for the RAM. NGS showed longer total TAT, total hands-on time, and hands-on time per step than SBT (26:47:20 vs. 12:32:08, 03:59:35 vs. 00:47:39, 00:05:13 vs. 00:01:54 hh:mm:ss, respectively).
Conclusions: Transitioning from SBT to NGS for HLA typing involves increased risk and extended TAT. This study underscored the importance of evaluating these factors to optimize laboratory efficiency in HLA typing.