bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementasi Manajeman Transaksi Penjualan Boothcin Coffee Dengan Memanfaatkan Database Ms Acces
Authors: Anisa Putri Aviandra  , Nabila Lukmi Aurella , Abdillah Nurrachman Muhammad , Irsyad Haji Muhammad 
Published: July 2023

Kontribusi umkm terhadap krisis yang terjadi pada tahun 2020 seperti yang dijelaskan ekon.go.id. pada laman tersebut dijelaskan bahwa Hingga 97% pelaku usaha di Indonesia adalah usaha mikro dan kecil, namun dapat memberikan kontribusi 57% terhadap PDB (pendapatan domestik bruto) dan menyerap 60% tenaga kerja. Namun sangat disayangkan bahwa penerapan manajemen belum direalisasikan pada kebanyakan umkm khususnya umkm tingkat kecil. Database memberikan kemudahan pelaku umkm dengan menghemat waktu dan tenaga, karena memiliki prinsip pengelolaan data yang tujuan utamanya adalah fleksibilitas dan kecepatan pengambilan data. dengan kasus tersebut kami membuat form pendapatan dengan menginput kode barang akan tersedia output data berupa nama, jenis, jumlah, dan pendapatan selama satu bulan. hal tersebut membantu melihat tingkat peminat dalam suatu jenis barang. sehingga mempermudah Tindakan dalam keputusan manajerial.
Microdeletion in distal PLP1 enhancers causes hereditary spastic paraplegia 2
Authors: Zhou Xun , Wang Yige , He Runcheng , Liu Zhenhua , Xu Qian , Guo Jifeng , Yan Xinxiang , Li Jinchen , Tang Beisha , Zeng Sheng , Sun Qiying 
Published: July 2023

AbstractObjectivesHereditary spastic paraplegia (HSP) is a genetically heterogeneous disease caused by over 70 genes, with a significant number of patients still genetically unsolved. In this study, we recruited a suspected HSP family characterized by spasticity, developmental delay, ataxia and hypomyelination, and intended to reveal its molecular etiology by whole exome sequencing (WES) and long‐read sequencing (LRS) analyses.MethodsWES was performed on 13 individuals of the family to identify the causative mutations, including analyses of SNVs (single‐nucleotide variants) and CNVs (copy number variants). Accurate circular consensus (CCS) long‐read sequencing (LRS) was used to verify the findings of CNV analysis from WES.ResultsSNVs analysis identified a missense variant c.195G>T (p.E65D) of MORF4L2 at Xq22.2 co‐segregating in this family from WES data. Further CNVs analysis revealed a microdeletion, which was adjacent to the MORF4L2 gene, also co‐segregating in this family. LRS verified this microdeletion and confirmed the deletion range (chrX: 103,690,507–103,715,018, hg38) with high resolution at nucleotide level accuracy.InterpretationsIn this study, we identified an Xq22.2 microdeletion (about 24.5 kb), which contains distal enhancers of the PLP1 gene, as a likely cause of SPG2 in this family. The lack of distal enhancers may result in transcriptional repression of PLP1 in oligodendrocytes, potentially affecting its role in the maintenance of myelin, and causing SPG2 phenotype. This study has highlighted the importance of noncoding genomic alterations in the genetic etiology of SPG2.
Self‐Driven Electricity Modulates d‐Band Electrons of Copper Single‐Atom Nanozyme for Boosting Cancer Therapy
Authors: Zhong Songjing , Xiong Cheng , Zhao Yunchao , Yao Shuncheng , Hu Quanhong , Wang Shaobo , Zhao Qinyu , Li Linlin 
Published: July 2023

AbstractSingle‐atom nanozymes (SAzymes) are considered as the most promising candidates for natural enzymes due to their atomically dispersed active sites that closely resemble the metal active centers of their natural counterparts. However, a significant challenge still exists for improving their catalytic activities, retarding their practical applications. Herein, this article presents that through the application of a human self‐driven triboelectric device to impose electrical stimulus, the multiple enzyme‐like activities of a single‐atom copper nanozyme (Cu‐NC) are remarkably improved, thereby boosting cancer cell oxidative damage and death for realizing improved therapy. Under an electrical stimulus with 20 V voltage, the peroxidase, catalase, oxidase, and glutathione oxidase like activities of Cu‐NC are all improved to boost the catalytic generation of free radicals. Through calculation, this work analyzes how the electrical stimulus modulates the catalytic activity via decreasing adsorption energy of H2O2 on Cu active sites, increasing Cu dxy orbital near the Fermi level, and shifting the d‐band center of Cu, facilitating the catalytic reactions. This work opens new perspectives on improving single‐atom nanoenzymes for cancer therapy.
Resonance Energy Transfer from Monolayer WS2 to Organic Dye Molecules: Conversion of Faint Visible‐Red into Bright Near‐Infrared Luminescence
Authors: Zorn Morales Nicolas , Severin Nikolai , Rabe Jürgen P. , Kirstein Stefan , List‐Kratochvil Emil , Blumstengel Sylke 
Published: July 2023

AbstractThe synergetic combination of transition metal dichalcogenides (TMDCs) with organic dye molecules in functional heterostructures is promising for various optoelectronic applications. Here resonance energy transfer (RET) from a red‐emitting WS2 monolayer (1L‐WS2) to a layer of near‐infrared (NIR) emitting organic dye molecules is demonstrated. It is found that the total photoluminescence (PL) yield of the heterostructures is up to a factor of eight higher as compared to the PL yield of pristine 1L‐WS2. This is attributed to the efficient conversion of the mostly non‐radiative excitons in 1L‐WS2 into radiative excitons in the dye layer. A type‐I energy level alignment of the 1L‐WS2/dye interface assures the emission of bright PL. From excitation density‐dependent PL experiments, it is concluded that RET prevails against defect‐assisted non‐radiative recombination as well as Auger‐type exciton‐exciton annihilation in 1L‐WS2. The work paves the way for employing organic dye molecules in heterostructures with TMDCs in nanoscale light‐emitting devices with improved efficiency and tunable color.
A preliminary analysis of dental microstructure in Hamipterus (Pterosauria, Pterodactyloidea)
Authors: Chen He , Li Zhiheng , Jiang Shunxing , Wu Qian , Gong Yanxin , Zhu Xufeng , Wang Xiaolin 
Published: July 2023

AbstractThe toothed members of Pterosauria display an extremely wide range of tooth morphologies that supported a variety of feeding habits. Histological studies on the teeth of different pterosaur clades are potentially valuable in understanding the development of their tooth diversity. In this study, we used histological sections and scanning electron microscopy to describe and interpret the tooth microstructure of Hamipterus (Pterodactyloidea). Our analysis is based on seven teeth of Hamipterus (six isolated and one from a skull) from the Lower Cretaceous collected in Hami, China. Our results show that the enamel on the tooth crown is thin (~25 μm) in Hamipterus and covers only approximately half of the tooth crown. This thin enamel of the Hamipterus tooth makes it vulnerable and often becomes damaged during taphonomic and diagenetic processes. The radicular pulp inside the conical‐shaped root shows a spindle space with a small foramen at the bottom, while the coronal pulp shows a small tunnel (100–140 μm in diameter). We estimate that the small teeth of Hamipterus likely took approximately 80 days to form. Furthermore, the tooth has Andresen lines, which represent 7–15 days period. For stable articulation of the tooth in the alveolus, the thick cellular cementum is concentrated on the lingual side of the root. The acellular cementum (~40 μm thick) layer runs from the root to the partial tooth crown.
A ‘turn‐off’ fluorescence sensor for selective Hg(II) based on phenothiazine derivative
Authors: Al‐Zahrani Fatimah A. M. 
Published: July 2023

AbstractGiven how crucial it is to preserve a human‐safe and sustainable environment, the rapid discovery of possibly lethal heavy metals such as Hg(II) has drawn much attention in recent years. A novel sensor, known as (E)‐2‐((10‐octyl‐10H‐phenothiazin‐3‐yl)methylene)hydrazine‐1‐carbothioamide (PTZHC), was synthesized as a fluorescence ‘on–off’ sensor for Hg2+ ions. Coordination alters organic molecule electron densities, quenching the fluorescence intensity. PTZHC was described completely with the help of FTIR and 1H‐NMR spectrum studies. The Hg2+ ion was successfully detected using the PTZHC sensor even when there were other metal ions present. The limit of the detection was estimated to be 2.5 × 10−8 M and the Job's plot examination implied that PTZHC was bound to Hg2+ with a simple 1:1 stoichiometry in s CH3CN/H2O (9:1, v/v) suspension. To further cast light on the bridged effect on geometric and optoelectronic characteristics, time‐dependent density functional theory (TD‐DFT) at the B3LYP/6‐31G(d) level and DFT were both examined.
Successful outcome of permanent maxillary incisor reimplanted after 30 hours of extra‐oral time—a case report with 5‐year follow‐up
Authors: Kaur Ibadat Preet , Kumar Ashok , Kumar Mukul , Jha Kanistika 
Published: July 2023

Key Clinical MessageTooth reimplantation should be attempted in every possible case with thorough disinfection and impervious obturation. Integration of progressive innovations with recommended protocols can enhance complication free survival in intense situations.AbstractThe present case describes the unique successful outcome of a tooth reimplanted after the delay of 30 hours. A 21‐year old male patient presented with an avulsed #21 after a fall due to electric shock. It was reimplanted according IADT guidelines with the addition of specific irrigation sequence proposed for regenerative endodontic procedures during the endodontic treatment. The final obturation was accomplished by combination of Biodentine and BioRCS root‐canal sealer. Subluxated #11 developed symptoms at 6 months and was further managed using recommended endodontic procedure. Both teeth had complication free survival during 5 year follow‐up.
Calculation of Ionization, Excitation and Electron Capture Cross Sections for Be4++H(2s, 2p) Collisions
Authors: Illescas Clara 
Published: July 2023

AbstractA computational study of Be4++H(2s, 2p) collisions has been carried out employing the Classical Trajectory Monte Carlo (CTMC) method for the impact energy range from 20 keV/u to 1000 keV/u. The integralnpartial cross sections for H(n) excitation and Be3+(n) electron capture and, the total ionization and electron capture cross sections are calculated and compared to recent semiclassical results. A general good agreement is observed for thenpartial and total electron capture and ionization cross sections. The comparative study of the three inelastic processes show no significant differences between both excited targets.
A simple procedure to improve the performance of Klein's 2‐of‐2 run rule in the Shewhart X¯$\bar{X}$ control chart
Authors: Quinino Víctor Brito , Ho Linda L. , Cruz Frederico R. B. , Quinino Roberto C. 
Published: July 2023

AbstractSupplementary run‐rules have been used since the 1950s to improve the performance of the basic Shewhart control chart. A procedure known as Klein's 2‐of‐2, a simple and efficient supplementary rule, signals that the process is out‐of‐control only when two sequential sample averages are observed above the upper control limit (UCL) or below the lower control limit (LCL). The use of this rule results in a substantial reduction of the average run length (ARL) in detecting small process shifts when compared to the traditional control chart. However, it presents a poor performance of the out‐of‐control ARL for moderate to large process shifts (the converges to 2 for large shifts in the mean). In order to minimize this issue, some authors introduce additional control limits to delimit decision zones in relation to deciding whether the process is in control or out‐of‐control. Despite a better performance for moderate‐to‐large process shifts, the process complexity is also higher. In this paper, we include a simple procedure (with no additional control limits) in relation to the 2‐of‐2 rule by examining if all values of each unit of the sample are beyond the control limits whenever its average is beyond the control limits. The new procedure has a similar performance in terms of ARL for small shifts in the mean and a better performance for moderate‐to‐large shifts (the now converges to 1) when compared to the standard 2‐of‐2 rule (where the converges to 2).
Phase retrieval and system identification in dynamical sampling via Prony’s method
Authors: Beinert Robert , Hasannasab Marzieh 
Published: July 2023

AbstractPhase retrieval in dynamical sampling is a novel research direction, where an unknown signal has to be recovered from the phaseless measurements with respect to a dynamical frame, i.e., a sequence of sampling vectors constructed by the repeated action of an operator. The loss of the phase here turns the well-posed dynamical sampling into a severe ill-posed inverse problem. In the existing literature, the involved operator is usually completely known. In this paper, we combine phase retrieval in dynamical sampling with the identification of the system. For instance, if the dynamical frame is based on a repeated convolution, then we want to recover the unknown convolution kernel in advance. Using Prony’s method, we establish several recovery guarantees for signal and system, whose proofs are constructive and yield algebraic recovery methods. The required assumptions are satisfied by almost all signals, operators, and sampling vectors. Studying the sensitivity of the recovery procedures, we establish error bounds for the approximate Prony method with respect to complex exponential sums.
Presenting Quotient Locales
Authors: Manuell Graham 
Published: July 2023

AbstractIt is often useful to be able to deal with locales in terms of presentations of their underlying frames, or equivalently, the geometric theories which they classify. Given a presentation for a locale, presentations for its sublocales can be obtained by simply appending additional relations, but the case of quotient locales is more subtle. We provide simple procedures for obtaining presentations of open quotients, proper quotients or general triquotients from presentations of the parent locale. The results are proved with the help of the suplattice, preframe and dcpo coverage theorems and applied to obtain presentations of the circle from ones for $$\mathbb {R}$$
R
and [0, 1].
The levelling-off and recent rapid decline in population density of the highly prolific invasive lionfish on the Saba Bank, Eastern Caribbean
Authors: Debrot Adolphe O. , Brunel Thomas , Izioka Ayumi Kuramae 
Published: July 2023

AbstractSince its introduction in the Western Atlantic more than 30 years ago, the lionfish (Pterois volitans/miles complex) has spread throughout the Gulf of Mexico, the Caribbean and the Western Tropical Atlantic, with massive and unprecedented ecological impacts. This invasion is among the most studied marine fish invasions but very little is still really known about the population dynamics of the species and the factors ultimately governing its abundance. The species was first documented on the Saba Bank in 2010 and rapidly increased in abundance till the end of 2014. In this note we document its rise and subsequent decline in density and thereby describe the species’ third apparent local population boom-bust event for the Greater Caribbean. We also document gradual increases in the mean size of lionfish of the Eastern Caribbean Saba Bank that coincided with the increase and subsequent decline in abundance. Contrary to the previously documented epizootic disease outbreak associated with the population crash observed in the Gulf of Mexico we were unable to find any signs of the occurrence of epizootic disease. We suggest that the population decline on the Saba Bank might have been due to non-local causes. Boom-bust dynamics are often witnessed in biological invasions and have critical implications for both understanding and managing invasive species. While the underlying cause for the boom-bust event we document remains unknown, our work suggests that in the region, ecological feedback mechanisms are gradually developing that can help level-off deleterious population excesses of this invasive species.
The impact of geriatric characteristics and comorbidities on distant metastases and other cause mortality in older women with non-metastatic breast cancer treated with primary endocrine therapy
Authors: Waaijer M. E.C. , Lemij A. A. , de Boer A. Z. , Bastiaannet E. , van den Bos F. , Derks M. G.M. , Kroep J. R. , Liefers G. J. , Portielje J. E.A. , de Glas N. A. 
Published: July 2023

AbstractIntroductionIn recent years, primary surgical treatment of older women with non-metastatic breast cancer has decreased in favor of primary endocrine therapy (PET). PET can be considered in women with a remaining life expectancy of less than five years. The aim of this study was to (1) assess the risk of distant metastases and other cause mortality over ten years in women aged 65 and older with stage I-III breast cancer treated with PET, (2) whether this was associated with geriatric characteristics and comorbidities and to (3) describe the reasons on which the choice for PET was made.MethodsWomen were included from the retrospective FOCUS cohort, which comprises all incident women diagnosed with breast cancer aged 65 or older between January 1997 and December 2004 in the Comprehensive Cancer Center Region West in the Netherlands. We selected women (N = 257) with stage I-III breast cancer and treated with PET from this cohort. Patient characteristics (including comorbidity, polypharmacy, walking, cognitive and sensory impairment), treatment and tumor characteristics were retrospectively extracted from charts. Outcomes were distant metastasis and other cause mortality. Cumulative incidences were calculated using the Cumulative Incidence for Competing Risks method (CICR); and subdistribution hazard ratios (SHR) were tested between groups based on age, geriatric characteristics and comorbidity with the Fine and Gray model.ResultsWomen treated with PET were on average 84 years old and 41% had one or more geriatric characteristics. Other cause mortality exceeded the cumulative incidence of distant metastasis over ten years (83 versus 5.6%). The risk of dying from another cause further increased in women with geriatric characteristics (SHR 2.06, p < 0.001) or two or more comorbidities (SHR 1.72, p < 0.001). Often the reason for omitting surgery was not recorded (52.9%), but if recorded surgery was omitted mainly at the patient’s request (18.7%).DiscussionThis study shows that the cumulative incidence of distant metastasis is much lower than other cause mortality in older women with breast cancer treated with PET, especially in the presence of geriatric characteristics or comorbidities. This confirms the importance of assessment of geriatric characteristics to aid counseling of older women.
From Caterpillar to Butterfly: Social Media Engagement of the Socially Excluded Third-Gender People in Bangladesh
Authors: Hossain Mohammad Alamgir , Akter Shahriar , Ahsan Md. Fosiul , Ahmed Jashim Uddin , Khan Shahadat 
Published: July 2023

AbstractThis paper focuses on the effects of gender diversity – in terms of binary- and third-gender – on social media engagement (SMEn). Specifically, we examine the extent to which SMEn's antecedents and outcomes vary between binary- and third-gender people. Based on theuses and gratification theory (UGT), we develop and validate a model using two cross-sectional studies. Data have been collected from heterosexual and third-gender people (TGP) separately, and analysed with the structural equation modelling (SEM) technique. Our results show that the incentives and outcomes of SMEn are not identical across different gender groups; rather, socially excluded TGP take advantage of social media differently than their heterosexual counterpart. More specifically,habitis the strongest predictor of SMEn for the heterosexual group, which isemotional reassurancefor the TGP. Interestingly,identity managementis an important determinant of SMEnonlyfor TGP, whilesocial interactionis important for both groups. We further find that SMEn enhances both groups' quality of life and social self-esteem but more for TGP. This study advances knowledge by applying UGT in a new research setting within information systems. The findings provide guidelines to social media architects and policymakers on engaging socially disadvantaged people with social media and enhancing their social wellbeing.
Automatic highlight detection in videos of martial arts tricking
Authors: Rodrigo Marcos , Cuevas Carlos , Berjón Daniel , García Narciso 
Published: July 2023

AbstractWe propose a novel strategy for the automatic detection of highlight events in user-generated tricking videos, to the best of our knowledge, the first one specifically tailored for this complex sport. Most current methods for related sports leverage high-level semantics such as predefined camera angles or common editing practices, or rely on depth cameras to achieve automatic detection. However, our approach only relies on the contents (themselves) in the frames of a given video, and consists in a four stage pipeline. The first stage identifies foreground key points of interest along with an estimation of their motion in the video frames. In the second stage, these points are grouped into regions of interest based on their proximity and motion. Their behavior over time is evaluated in the third stage to generate an attention map indicating the regions participating in the most relevant events. The fourth and final stage provides the extracted video sequences where highlights have been identified. Experimental results attest to the effectiveness of our approach, which shows high recall and precision values at frame level, with detections that fit well the ground truth events.
Machine learning-based state maps for complex dynamical systems: applications to friction-excited brake system vibrations
Authors: Geier Charlotte , Hamdi Saïd , Chancelier Thierry , Dufrénoy Philippe , Hoffmann Norbert , Stender Merten 
Published: July 2023

AbstractIn this work, a purely data-driven approach to mapping out the state of a dynamical system over a set of chosen parameters is presented and demonstrated along a case study using real-world experimental data from a friction brake system. Complex engineering systems often exhibit a rich bifurcation behavior with respect to one or several parameters, which is difficult to grasp using experimental approaches or numerical simulations. At the same time, the growing need for energy-efficient machines that can operate under varying or extreme environmental conditions also calls for a better understanding of these systems to avoid critical transitions. The proposed method combines machine learning techniques with synthetic data augmentation to create a complete state map for a dynamical system. First, a machine learning model is trained on experimental data, picking up hidden mechanisms and complex parametric relations of the underlying dynamical system. The model is then exploited to assess the state of the system for a set of synthetically generated data to obtain a state map over the complete space spanned by the chosen parameters. In addition, an extension of the concept to a probability state map is introduced. The results indicate that the proposed method can uncover hidden variables which drive dynamical transitions between different states of a system that were previously inaccessible.