Miracle-dz/UniFAR-FTUs huggingface dataset:
Height, Push-Off Angle, Explosive Power: Do they Correlate with Volleyball Athlete Jumping Performance?

Background and Study Aim: Jump performance is the main asset in attacking volleyball. Jump performance is influenced by various factors that affect this indicator, such as body balance, upper and lower body coordination, as well as explosive power. The purpose of this study was to investigate the relationship between height, push-off angle, explosive power, and jumping performance in volleyball student athletes. Material and Methods: The method used was a correlational, 7 male volleyball student athletes as samples (age = 21.00 ± 1.732 years, height = 167.86 ± 1.864 cm). Sampling technique used is purposive sampling, Shapiro-Wilk and Levene's test to determine normality and homogeneity. Data calculations were processed using the help of IBM SPSS version 26.0. , with decision making p < 0.05. Results: Variable Push-Off Angle and Explosive Power show significant results (p < 0.05). The Pearson correlation value for Push-Off Angle is -0.781, while the correlation value for Explosive Power is 0.908. Conversely, the variable Height does not show significant results (p > 0.05), with a Pearson Correlation value of -0.334. The findings indicate that the aspect of Explosive Power provides a significant contribution with a positive relationship. This is followed by the aspect of Push-Off Angle, but the results show that this aspect provides a moderate contribution with a negative relationship. Additionally, the aspect of Height shows a negative relationship and a low contribution value. Conclusions: The Study’s findings conclude that Push-Off Angle and Explosive Power have a significant correlation and play a crucial role in enhancing Jump Performance. However, Body Height does not exhibit a significant correlation with Jump Performance. These findings also conclude that the aspect that plays a crucial role in jump performance is explosive power.
The onset of the Messinian salinity crisis in the deep Eastern Mediterranean basin

Astronomical tuning of the Messinian pre‐salt succession in the Levant Basin allows for the first time the reconstruction of a detailed chronology of the Messinian salinity crisis (MSC) events in deep setting and their correlation with marginal records that supports the CIESM ( ) 3‐stage model. Our main conclusions are (1) MSC events were synchronous across marginal and deep basins, (2) MSC onset in deep basins occurred at 5.97 Ma, (3) only foraminifera‐barren, evaporite‐free shales accumulated in deep settings between 5.97 and 5.60 Ma, (4) deep evaporites (anhydrite and halite) deposition started later, at 5.60 Ma and (5) new and published 87Sr/86Sr data indicate that during all stages, evaporites precipitated from the same water body in all the Mediterranean sub‐basins. The wide synchrony of events and 87Sr/86Sr homogeneity implies inter‐sub‐basin connection during the whole MSC and is not compatible with large sea‐level fall and desiccation of the Mediterranean.
Effect of cranial electrotherapy stimulation (CES) in treatment of premature ejaculation: a randomized clinical trial

Background Premature ejaculation is one of the most common male sexual dysfunction, affecting approximately 30% of men. The aim of this study is to evaluate the efficacy and at the same time the safety of the cranial electro-therapy stimulation (CES) device in treatment of premature ejaculation disorder. Methods Based on a randomized clinical trial, two groups were included in the study, so that the first group was treated with sertraline along with an ATANG (AT-9 model) CES, and the second group with sertraline and inactive the CES device (as the placebo group). The state of premature ejaculation after treatment (using the Premature Ejacu-lation Diagnostic Tool (PEDT) questionnaire) was evaluated and compared for both groups. Results In the intervention and placebo groups, the average score of the PEDT questionnaire before the intervention did not differ significantly between the two groups ( p -value equal to 0.93). However, the average score of the PEDT questionnaire after the intervention for CES group and placebo group was 10.28 ± 1.93 and 13.23 ± 3.05, respectively, which demonstrated a significant decrease in the intervention group ( p -value equal to 0.01). Conclusion The use of CES device as a complementary treatment along with routine drug treatment (sertraline) is associated with a significant improvement in the condition of premature ejaculation of patients.
Understanding the socio-economic landscape of dairy farmers in Ollukkara block, Thrissur district, Kerala: A comprehensive analysis

This study presents an in-depth analysis of the socio-economic landscape of dairy farmers in the Ollukkara Block, Thrissur district, Kerala, India, a region recognized for its vibrant dairy industry. We conducted a comprehensive survey involving 60 dairy farmers selected through random sampling, collecting data on a range of socio-economic variables. Our findings reveal that dairy farming in the area is predominantly conducted by middle-aged (55.00%), married individuals (91.67%), primarily males (65%), with nuclear families being the predominant family structure. Agriculture serves as the main occupation for a majority of the respondents (70%). We also identified a strong correlation between the level of formal education and involvement in dairy farming, suggesting that cattle rearing is not limited to a specific educational background. In terms of annual income and land ownership, a moderate-income level and land ownership ranging between 20 cents and 1 acre dominated the survey. Furthermore, all respondents were members of a milk cooperative society and 65 percent of them had undergone cattle rearing training, indicating the critical role of cooperative societies and continuous training in dairy farming. The study provides valuable insights that can guide policy formulation and implementation to further enhance the dairy farming sector in the region
Efficacy of modified active physical therapy program on pain, muscle strength, and function in adolescent football players with osteitis pubis

Background In athletes, osteitis pubis (OP) is considered a major cause of chronic groin pain. In addition to the difficulties with diagnosis, controversy exists regarding the most appropriate treatment approach. The study aimed to evaluate the effect of a modified active physical therapy program (MAPT) on pain, hip and trunk muscle strengths, and lower extremity function in adolescent football players with OP. Methods Fifty football players aged from 12 to 18 years with OP were included and allocated into two groups: the MAPT group ( n = 24) and the traditional physical therapy (TPT) group ( n = 26). Each group received a different treatment protocol for 60 min applied 3 times/week for 12 weeks. A visual analog scale, digital hand-held dynamometer (HHD), and lower extremity functional scale (LEFS) were used to measure pain, hip and trunk muscle strengths, and lower limb function, respectively, at baseline and 12 weeks post-intervention. Results There was a highly significant difference in the TPT group’s pain score ( p < 0.001) compared with the MAPT group. Also, the strength of hip flexors, abductors, adductors, internal rotators, external rotators, and trunk flexors and extensors improved significantly ( p < 0.05) than the TPT group. However, the between-group analysis revealed that the strength of hip extensors and LEFS in the MAPT group achieved a highly significant difference ( p < 0.001) compared with the TPT group. Conclusion MAPT could be recommended strongly in the rehabilitation of OP in adolescent football players in which the functional abilities of OP patients improved because of reduced pain levels and increased hip and trunk muscle strength. (IRCT20210909052421N3, Iranian Registry of Clinical Trials, https:// www. irct. ir/ trial/ 68946/ pdf, 9-April-2023).
Does Culture of Post-Thawed Cleavage-Stage Embryos to Blastocysts Improve Infertility Treatment Outcomes of Frozen-Thawed Embryo Transfer Cycles? A Randomised Clinical Trial

Background: There is a definite shift in assisted reproductive centres from cleavage-stage embryo transfer (ET) to blastocyst transfer that is attributed to improvements in laboratory environments and advances in the development of embryo culture media. The aim of the study was to investigate the reproductive outcomes of thawed cleavage-stage ET versus blastocysts derived from an extended culture of these embryos. Materials and Methods: This open-label, randomised, parallel group clinical trial study enrolled 182 women aged ≤37 years who underwent frozen-thawed ET from November 2015 to June 2020 at Royan Institute Research Centre, Tehran, Iran. The women were randomly assigned to either the thawed cleavage ET group (n=110) or the post-thaw extended culture blastocysts group (n=72). The primary outcome measure was the clinical pregnancy rate. Secondary outcome measures were implantation rate, live birth rate (LBR), and miscarriage rate. A P<0.05 indicated statistical significance. Results: There were no significant differences between the two groups in terms of demographic characteristics. Both the mean numbers of embryos transferred and good quality embryos transferred were significantly lower in the postthaw extended culture blastocysts group compared to thawed cleavage-stage ET cycles. However, the post-thaw extended culture blastocysts group had higher clinical pregnancy (56.94 vs. 40.91%, P=0.034), implantation (34.43 vs. 19.84%, P=0.001) and live birth (49.3 vs. 33.63%, P=0.036) rates compared to the thawed cleavage-stage ET group. Miscarriage and multiple gestations rates were comparable between the groups. Conclusion: These results allow us to take a position in favour of post-thaw extended culture blastocysts; thus, it is important to improve the post-thawing extended culture technique (registration number: NCT02681029).
Estimating Floodwater Depths from Flood Inundation Maps and Topography

Information on flood inundation extent is important for understanding societal exposure, water storage volumes, flood wave attenuation, future flood hazard, and other variables. A number of organizations now provide flood inundation maps based on satellite remote sensing. These data products can efficiently and accurately provide the areal extent of a flood event, but do not provide floodwater depth, an important attribute for first responders and damage assessment. Here we present a new methodology and a GIS‐based tool, the Floodwater Depth Estimation Tool (FwDET), for estimating floodwater depth based solely on an inundation map and a digital elevation model (DEM). We compare the FwDET results against water depth maps derived from hydraulic simulation of two flood events, a large‐scale event for which we use medium resolution input layer (10 m) and a small‐scale event for which we use a high‐resolution (LiDAR; 1 m) input. Further testing is performed for two inundation maps with a number of challenging features that include a narrow valley, a large reservoir, and an urban setting. The results show FwDET can accurately calculate floodwater depth for diverse flooding scenarios but also leads to considerable bias in locations where the inundation extent does not align well with the DEM. In these locations, manual adjustment or higher spatial resolution input is required.
Inverse logarithmic coefﬁcient bounds for starlike functions subordinated to the exponential functions

In recent years, many subclasses of univalent functions, directly or not directly related to the exponential functions, have been introduced and studied. In this paper, we consider the class of S ∗ e for which zf (cid:3) ( z )/ f ( z ) is subordinate to e z in the open unit disk. The classic concept of Hankel determinant is generalized by replacing the inverse logarithmic coeﬃcient of functions belonging to certain subclasses of univalent functions. In particular, we obtain the best possible bounds for the second Hankel determinant of logarithmic coeﬃcients of inverse starlike functions subordinated to exponential functions. This work may inspire to pay more attention to the coeﬃcient properties with respect to the inverse functions of various classes of univalent functions.
Matters of Gravity, the newsletter of the Topical Group in Gravitation of APS

GGR News: The WYP speakers program, by Richard Price We hear that. , by Jorge Pullin 100 Years ago, by Jorge Pullin Research Briefs: What's new in LIGO, by David Shoemaker Recent developments in the information loss paradox, by Eanna Flanagan Gravity Probe B mission ends, by Bob Kahn Conference reports: 6th Edoardo Amaldi Meeting, by Matthew Benacquista Workshop on Numerical Relativity, BIRS, by Carsten Gundlach 8th Capra Meeting on Radiation Reaction, by Leor Barack Theory and experiment in quantum gravity, by Elizabeth Winstanley
The Empowering Potential of Satellite-Linked Smartphones

Internet access is necessary in the modern digital age for communication, education, and economic prospects. This research looks into the development of an affordable, satellite- connected smartphone in an effort to close this gap. Conventional terrestrial networks have significant drawbacks, particularly in remote and rural areas where internet connectivity might be problematic. Concerns around radiation from cellphone towers also hinder communication in urban areas. Through the use of satellite communication capabilities in cellphones, this technique gets around the limitations of traditional terrestrial networks to offer access to the internet for even the most remote regions. This technology reduces the need for conventional cellular towers in dense areas, which may ease concerns concerning radiation exposure from towers. It also delivers basic services, education, and economic prospects. The study emphasizes how important it is to get beyond technology barriers, collaborate with manufacturers, create supportive laws, and launch awareness campaigns in order to encourage the use of this innovative tactic. The primary findings show that affordable smartphones with satellite connections can significantly aid in closing the digital divide and benefiting urban and underprivileged populations, in addition to solving connection and health-related concerns. This study makes a very clear point: utilizing cellphones that have satellite capabilities can pave the way for a digital society that is more equitable and connected.
Assessment of Different Approaches used for Image Enhancement in Underwater Scenarios

There has been a lot of work done in the field of underwater image processing in recent years. Due to the difficulty of underwater photography, there has been an increase in research in this area. Underwater images frequently suffer from quality decline due to factors like low contrast, blurred features, shifting colors, noise, and variations in the water medium. Improving underwater images is a difficult problem in image processing with many practical implications. In this paper, we present a comprehensive review of the different approaches used for underwater image enhancement. Moreover, we compare different models in terms of accuracy. After that, future research directions have been discussed.
Population structure and local adaptations in marine fishes

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Deep Mining of Wearable Spatial Variability for Efficient Edge Computing

Wearable biomechanical sensors can be placed on different body locations and each sensor may have multiple channels. Deep mining of the spatial variability in these sensor locations and channels, is essential for not only optimal system configuration towards energy efficient edge computing, but also comprehensive musculoskeletal dynamics understanding. Targeting these needs, we propose to leverage deep learning to investigate seven body locations and six channels for each location, thereby demonstrating the spatial variability among 42 combinations. The research findings indicate that the thigh location and the accelerometer axis-Y is the best configuration. Further, experimental results also indicate the diverse spatial variability among different sensor locations and sensor channels, which provide interesting and rich information about the biomechanical dynamics. This study will thus greatly advance our understanding of the spatial variability in wearable biomechanical sensors and channels, thereby minimizing the data analytics load and facilitating energy efficient edge computing for big biomechanical data mining.
A Noise Mitigation Approach for Improving Position Estimate in Indoor Vehicle Navigation Using Inertial Measurement Unit

Accurate position estimation, especially in indoor environments, presents a formidable challenge despite significant advancements in estimation methodologies. The integration of additional sensors is often imperative to refine estimates, particularly within indoor settings. The choice of additional sensors depends on the specific applications and operational range. This study focuses on devising a position estimation framework utilizing the internal sensors such as the Inertial Measurement Unit (IMU) and wheel encoders within a scaled-down Electric Vehicle. The proposed approach entails a combination of crafting a digital filter and implementing a Kalman filter to effectively attenuate noise and errors in the IMU data, thereby enhancing the position estimate, and the methodology is validated through experiments. This work contributes to the broader discourse on advancing indoor position estimation while bypassing the need for external positioning systems.
Reinforcement Learning-based Dynamic Admission Control with Resource Recycling for 5G Core Network Slicing

5G core network slicing is an important part of 5G end - to-end slicing, which can provide customized services by tailoring network functions for diverse application scenarios. In order to implement core network slicing efficiently and make full use of network resources, slice admission control that selectively accepts or rejects slice establishment requests is crucial. However, existing related works mainly focus on optimizing the revenue of mobile operators, and lack consideration of dynamic resource scheduling and recycling under limited resources. To this end, we propose a dynamic slice admission control mechanism with a warm-up resource recycling method, which uses the adaptability of reinforcement learning to improve the slice admission rate and ensure the efficient utilization of resources. Also, considering the differentiated demands of typical application scenarios, a slice request dataset construction rule is designed and a dataset is established to evaluate the effectiveness of the proposed mechanism. Experimental results demonstrate the superiority of the proposed core network slice admission control mechanism in guaranteeing high slice admission rate under various simulation settings.
Band Gap Modulation of Antidote Super Lattice Armchair Graphene Nanoribbon

An effective technique to tune the electronic proper-ties is introducing an antidote in pristine AGNR and producing antidote super lattice AGNRs (ASL-AGNRs). In the present work, we investigate the effect of dimensional parameters on the ASL-AGNR band gap. The numerical tight-binding (TB) approach is applied with two sets of parameters up to the third nearest neighbor. Furthermore, we compare the result with TB parameters which showed excellent agreement with the density functional theory (DFT) result in most cases of ribbon structures, to previously obtained results with TB parameters for only the nearest neighbor and third nearest neighbor.
The Comparison of the Blurred License Plate Reconstruction Effects in Four Modified GANs

This article considers four kinds of Generative Adversarial Networks (GANs), which are Pix2pix, Pix2pixHD, LSGAN, and DeblurGAN, and modify their architectures on the generators, discriminators, and/or loss functions. Then we used these modified GANs to reconstruct the blurred license plate images and evaluated and compared their reconstruction effects. The reconstruction index is the structural similarity (SSIM) between the original and blurred images. The experimental results show that the modified DeblurGAN, which is with the multi-scale PatchGAN discriminator and ResNet generator, has the highest average SSIM among the four modified GANs. It was found that adding SSIM into the content loss of DeblurGAN does not obviously improve the reconstruction effect. In addition, the image reconstruction once is almost better than that twice on the SSIM index. However, if the blurred image has not the corresponding original image, the multiple reconstructions may make the license plate numbers and letters much clearer.
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge

Semantic communication (SemCom) has gained significant attention to extracting and delivering semantic information based on transceivers' background knowledge. While successful, most existing works assume a fixed knowledge base (KB) shared between transceivers, limiting their applicability to the ever-increasing domain knowledge. To address this limitation, we propose an innovative transceiver cooperation framework, Prompt-SC, using prompt learning techniques to achieve domain-incremental SemCom. To alleviate catastrophic forgetting of domain incremental learning (DIL) and avoid the need to store data for all domains, we first reconstruct the SemCom model, i.e., the semantic and channel encoders/decoders, to be composed of a pretrained base model and domain-specific prompts. This way, a transceiver freezes its base model and learns prompts independently across domains to achieve the best for each domain, enabling rehearsal-free DIL. Additionally, we introduce the control-/data-plane decoupling design to align transceivers with heterogeneous or asynchronously evolved domain knowledge. Since the prompt size is small, transceivers can efficiently share the domain-specific prompt with each other, thereby aligning their background knowledge with low communication overhead and preserving the data privacy of individual KBs. Furthermore, we introduce a new metric, semantic spectrum efficiency, to evaluate Prompt-SC based on its communication cost and achieved SemCom gain, which suggests applicable scenarios for Prompt-SC. Finally, we conduct extensive experiments to demonstrate the effectiveness and efficiency of Prompt-SC.