bluuebunny/crossref_metadata_2025_split huggingface dataset:
RANCANG BANGUN ALAT DRYER UNTUK PENGERINGAN PULP BERBASIS CAMPURAN TANDAN KOSONG KELAPA SAWIT DAN PELEPAH PISANG
Authors: Triadi M. Ridho , Yerizam Muhammad , Yulianti Selastia 
Published: February 2022

Penggunaan campuran TKKS dan pelepah pisang sebagai bahan pengganti kayu dalam pembuatan pulp menjadi solusi atas kerusakan lingkungan akibat meluasnya penebangan hutan secara liar guna memenuhi bahan baku pembuatan kertas. Dalam pembuatan pulp pada UKM masih ditemukan permasalahan dimana proses pengeringan pulp masih mengunakan cara konfensional sehingga memakan waktu yang lama, pengeringan tidak merata, dan bergantung pada cuaca. Hal tersebut yang melatar belakangi penulis melakukan sebuah penelitian dengan tujuan memperoleh satu unit alat dryer tipe tray pada proses pembuatan pulp dari campuran TKKS dan pelepah pisang, serta mendapatkan kondisi optimum dari dryer berdasarkan waktu dan laju pengeringan pulp yang diharapkan memenuhi standar SNI kadar air pulp. Penelitian ini menggunakan metode rancang bangun dan eksperimen. Metode rancang bangun dilakukan untuk perancangan alat pengering tipe tray pada pengeringan pulp. Metode eksperimen dilakukan untuk mendapatkan data kinerja dryer yang ditinjau dari waktu dan laju pengeringan. Hasil dari penelitian ini yaitu didapat sebuah alat Dryer tipe Tray dengan panjang 34,5 cm, lebar 35 cm dan tinggi 39,5 cm dengan kapasitas maksimal 42 kg. didapatkan pulp dengan kadar air yang sesuai SNI kadar air pulp yaitu sebesar 9,1% pada waktu pengeringan selama 420 menit dengan laju pengeringan total sebesar 0,012656 kg/jam m2
THE HOTEL DEPARTMENT STANDARDIZATION TO IMPROVE STUDENT COMPETENCE IN THE HOUSEKEEPING AND FRONT OFFICE DEPARTMENT THROUGH FIELD INDUSTRIAL PRACTICES IN MATARAM CITY AND WEST LOMBOK
Authors: Firman Koma Febdilan  
Published: February 2022

PKL is the term for Field Practice or Professional Placement program. PKL is one systematic implementation within educational programs with mastering skills obtained by undergoing work placement in the working world. The program itself is actually beneficial for students and enterprises. The skills obtained on the campus can be applied in PKL. Hence, it can determine how well students can apply the knowledge and skills derived through the PKL program to become evaluations to develop education quality.
The purpose of conducting this research is to determine how the industry's strategy and the steps taken to develop or enhance the skills of the training students in Housekeeping and Front Office, particularly in performing the duties conforming to the predetermined set of the standard by the respective industries. The data collection technique used is observation, interview, literature study, and documentation, which was analyzed using the interactive communication data analysis model by reducing the data, conducting data presentation, and drawing the conclusion.
This research results show that the hotelier had applied basic comprehension that the students must know, such as hotel area, hotel property, and the profile of all hotel departments. Additionally, they all implement program standardization after understanding basic product knowledge and dividing work sections in the Housekeeping and Front Office. In Housekeeping, the working standardizations applied are General knowledge of front office, Front Desk Agent, Service center, Bellboy, Guest relation officer. While housekeeping had implemented standardizations such as general training knowledge of housekeeping, room, and laundry.
KNOWLEDGE MANAGEMENT AND ITS IMPACT TO HUMAN CAPITAL DEVELOPMENT IN MARINE GEOLOGICAL INSTITUTE (MGI) BANDUNG
Authors: Juli Riauwati  , Ade Irma Susanty  , P. Hadi Wijaya  
Published: February 2022

Marine Geological Institute (MGI) Bandung recognizes that the implementation of Knowledge Management can provide benefits for the achievement of organizational success and sustainability. This study aims to find out how well the implementation of KM is in MGI and measure the significant differences in the implementation of Knowledge Management (KM) based on employee profiles. From the assessment results, the organization can formulate the strategy to improve the implementation of the next KM. This research uses the methods of maturity level model and quantitative descriptive. The focus of this research is the implementation of KM on the important elements of strategy, culture, technology, process, and people. Data were collected by distributing questionnaires to all employees of MGI Bandung. Data were analyzed using the techniques of descriptive statistics and inferential statistics.
The results of descriptive analysis reveal that the level of KM implementation based on the elements of people, strategy, process, culture and technology are categorized Quantitative Managed. The results also show that based on the characteristics of age, employee grades, working period and education level, there are significant differences in the implementation of KM. Therefore, in implementing KM, the four characteristics of the respondents should be differentiated. The results also have an impact on the development of human capital which refers to the knowledge, competence, experience, and creativity of the workforce as well as their attitudes and motivations.
UPAYA MENINGKATKAN KEAKTIFAN SISWA DALAM PEMBELAJARAN JARAK JAUH (DISTANCE LEARNING) BERBANTUAN MODA KOMBINASI PADA MATERI INTERAKSI SOSIAL DI KELAS VII D SMPN 1 LABUHAN HAJI SEMESTER GANJIL TAHUN PELAJARAN 2020/2021
Authors: Hj. Laili Ismini  
Published: February 2022

This research is a classroom action research that aims to find out and find a learning model that can increase student activity in distance learning. The sample in this study was class VII D of SMP Negeri 1 Labuhan Haji in the odd semester of the 2020/2021 school year. This research was carried out in two cycles with each cycle being carried out in two meetings. Each cycle consists of four phases, namely: the planning phase, the implementation phase, the observation phase, and the reflection phase. Data collection in this study was carried out through observation, questionnaires, and documentation studies. The results showed that the application of the combination mode can increase student activity in distance learning (Distance Learning) on Social Interaction material in class VII D SMPN 1 Labuhan Haji Odd Semester for the 2020/2021 Academic Year, namely increasing student activity in participating in the learning process and activeness in collect the assignments given by the teacher.
Abstrak

Penelitian ini merupakan penelitian tindakan kelas yang bertujuan untuk mengetahui dan menemukan model pembelajaran yang dapat meningkatkan keaktifan siswa dalam pembelajaran jarak jauh. Sampel dalam penelitian ini adalah kelas VII D SMP Negeri 1 labuhan haji semester ganjil tahun pelajaran 2020/2021. Penelitian ini dilaksanakan dalam dua siklus dengan masing-masing siklus dilaksanakan dua kali pertemuan. Masing-masing siklus terdiri dari empat fase yaitu : fase perencanaan, fase pelaksanaan, fase pengamatan, dan fase refleksi. Pengumpulan data dalam penelitian ini dilakukan melalui observasi, angket dan studi dokumentasi. Hasil penelitian menunjukkan bahwa penerapan moda kombinasi dapat meningkatkan keaktifan siswa dalam pembelajaran jarak jauh (Distance Learning) pada materi Interaksi Sosial di kelas VII D SMPN 1 Labuhan Haji Semester Ganjil Tahun Pelajaran 2020/2021, yaitu peningkatan keaktifan siswa dalam mengikuti proses pembelajaran maupun keaktifan dalam mengumpulkan tugas-tugas yang diberikan guru.
Smart living : cafetería virtual para la Institución Universitaria Antonio José Camacho.
Authors: Pastrana Pardo Manuel Alejandro , Rojas Ana Milena , Ortiz Nicolás , Bermúdez Nicolás 
Published: February 2022

El macroproyecto ecosistema Smart Campus, que se lleva a cabo en la UNIAJC, busca impactar a la comunidad en general a partir de la optimización de los servicios institucionales. Estas mejoras están enmarcadas dentro de proyectos que, en casos como el del presente artículo, están apoyados por trabajos de grado y en otros directamente por el equipo propio de becarios de la Dirección de Tecnologías de la Información y la Comunicación de la universidad. Todas las soluciones generadas a partir de Smart Campus están orientadas en 6 ejes: Smart People, Smart Goverment, Smart Enviroment, Smart Mobility, Smart Economy y Smart Living. Cada uno de estos ejes tiene unos objetivos estratégicos alineados con el plan de desarrollo institucional, por lo que son de alta relevancia para el desarrollo de la institución. El presente documento refleja los resultados más relevantes del trabajo de Bermúdez & Ortiz (2020), quienes, alineados al eje de Smart Living, generan una solución denominada cafetería virtual, que permite realizar compras, reserva de almuerzos, visualización de todos los productos ofrecidos y la calificación del servicio ofrecido por la cafetería, siendo su mayor ventaja ser multiplataforma.
Adverse childhood experiences and resilience among adult women: A population-based study
Authors: Daníelsdóttir Hilda Björk , Aspelund Thor , Thordardottir Edda Bjork , Fall Katja , Fang Fang , Tómasson Gunnar , Rúnarsdóttir Harpa , Yang Qian , Choi Karmel W , Kennedy Beatrice , Halldorsdottir Thorhildur , Lu Donghao , Song Huan , Jakobsdóttir Jóhanna , Hauksdóttir Arna , Valdimarsdóttir Unnur Anna 
Published: February 2022

Background:Adverse childhood experiences (ACEs) have consistently been associated with elevated risk of multiple adverse health outcomes, yet their contribution to coping ability and psychiatric resilience in adulthood is unclear.Methods:Cross-sectional data were derived from the ongoing Stress-And-Gene-Analysis cohort, representing 30% of the Icelandic nationwide female population, 18–69 years. Participants in the current study were 26,198 women with data on 13 ACEs measured with the ACE-International Questionnaire. Self-reported coping ability was measured with the Connor-Davidson Resilience Scale and psychiatric resilience was operationalized as absence of psychiatric morbidity. Generalized linear regression assuming normal or Poisson distribution were used to assess the associations of ACEs with coping ability and psychiatric resilience controlling for multiple confounders.Results:Number of ACEs was inversely associated with adult resilience in a dose-dependent manner; every 1SD unit increase in ACE scores was associated with both lower levels of coping ability (β = −0.14; 95% CI-0.15,–0.13) and lower psychiatric resilience (β = −0.28; 95% CI-0.29,–0.27) in adulthood. Compared to women with 0 ACEs, women with ≥5 ACEs had 36% lower prevalence of high coping ability (PR = 0.64, 95% CI 0.59,0.70) and 58% lower prevalence of high psychiatric resilience (PR = 0.42; 95% CI 0.39,0.45). Specific ACEs including emotional neglect, bullying, sexual abuse and mental illness of household member were consistently associated with reduced adult resilience. We observed only slightly attenuated associations after controlling for adult socioeconomic factors and social support in adulthood.Conclusions:Cumulative ACE exposure is associated with lower adult resilience among women, independent of adult socioeconomic factors and social support, indicating that adult resilience may be largely determined in childhood.Funding:This work was supported by the European Research Council (Consolidator grant; UAV, grant number 726413), and the Icelandic Center for Research (Grant of excellence; UAV, grant number 163362-051). HBD was supported by a doctoral grant from the University of Iceland Research Fund.
Development of a quasi‐humanoid phantom to perform dosimetric and radiobiological measurements for out‐of‐field doses from external beam radiation therapy
Authors: Kruszyna‐Mochalska Marta , Skrobala Agnieszka , Romanski Piotr , Ryczkowski Adam , Suchorska Wiktoria , Kulcenty Katarzyna , Piotrowski Igor , Borowicz Dorota , Matuszak Natalia , Malicki Julian 
Published: February 2022

AbstractOur understanding of low dose, out‐of‐field radiation and their radiobiological effects are limited, in part due to the rapid technological advances in external beam radiotherapy, especially for non‐coplanar and dynamic techniques. Reliable comparisons of out‐of‐field doses produced by advanced radiotherapy techniques are difficult due to the limitations of commercially available phantoms. There is a clear need for a functional phantom to accurately measure the dosimetric and radiobiological characteristics of out‐of‐field doses, which would in turn allow clinicians and medical physicists to optimize treatment parameters. We designed, manufactured, and tested the performance of a quasi‐humanoid (Q‐H) adult phantom. To test the physics parameters, we used computed tomography (CT) scans of assembled Q‐H phantom. Static open field and dynamic techniques were measured both in‐ and out‐of‐field with ionization chambers and radiochromic films for two configurations (full solid and with water‐filled containers). In the areas simulating soft tissues, lung, and bones, median Hounsfield units and densities were, respectively: 129.8, ‐738.7, 920.8 HU and 1.110, 0.215, 1.669 g/cm3. Comparison of the measured to treatment planning systems (TPS) in‐field dose values for the sample volumetric arc therapy (VMAT) (6 MV flattening filter‐free (FFF)) plan, 96.4% of analyzed points passed the gamma evaluation criteria (L2%/2 mm, threshold (TH) 10%) and less than 1.50% for point dose verification. In the two phantom configurations: full poly(methyl) methacrylate (PMMA) and with water container, the off‐axis median doses for open field, relative to the central axis of the beam (CAX) were similar, respectively: 0.900% versus 0.907% (15 cm distance to CAX); 0.096% versus 0.120% (35 cm); 0.018% versus 0.018% (52 cm); 0.009% versus 0.008% (74 cm). For VMAT 6 MV FFF, doses relative the CAX were, respectively: 0.667% (15 cm), 0.062% (35 cm), 0.019% (52 cm), 0.016% (74 cm). The Q‐H phantom meets the International Commission on Radiation Units and Measurements (ICRU) and American Association of Physicists in Medicine (AAPM) recommended phantom criteria, providing medical physicists with a reliable, comprehensive system to perform dose calculation and measurements and to assess the impact on radiobiological response and on the risk of secondary tumor induction.
Ultra‐Stretchable and Fast Self‐Healing Ionic Hydrogel in Cryogenic Environments for Artificial Nerve Fiber
Authors: Wang Chan , Liu Ying , Qu Xuecheng , Shi Bojing , Zheng Qiang , Lin Xubo , Chao Shengyu , Wang Changyong , Zhou Jin , Sun Yu , Mao Gengsheng , Li Zhou 
Published: February 2022

AbstractSelf‐healing materials behave with irreplaceable advantages in biomimetic intelligent robots (BIR) for avoiding or reducing safety hazards and economic losses from accidental damage during service. However, the self‐healing ability is unreservedly lost and even becomes rigid and fragile in the cryogenic environment where BIR are precisely needed. Here, the authors report a versatile ionic hydrogel with fast self‐healing ability, ultra‐stretchability, and stable conductivity, even at −80 °C. The hydrogel is systematically optimized to improve a hydrogen‐bonded network nanostructure, coordinated achieving a quick self‐healing ability within 10 min, large deformation tolerance of over 7000%, superior conductivity of 11.76 S cm−1 and anti‐freezing ability, which is difficult to obtain simultaneously. Such a hydrogel provides new opportunities for artificial electronic devices in harsh environments. As a prospective application, they fabricate an artificial nerve fiber by mimicking the structure and functions of the myelinated axon, exhibiting the property of fast and potential‐gated signal transmission. This artificial nerve fiber is integrated into a robot for demonstrating a real‐time high fidelity and high throughput information interaction under big deformation and cryogenic temperature. The hydrogel and bionic device will bring pioneering functions for robots and open a broad application scenario in extreme conditions.
A Reconfigurable Two‐WSe2‐Transistor Synaptic Cell for Reinforcement Learning
Authors: Zhou Yue , Wang Yasai , Zhuge Fuwei , Guo Jianmiao , Ma Sijie , Wang Jingli , Tang Zijian , Li Yi , Miao Xiangshui , He Yuhui , Chai Yang 
Published: February 2022

AbstractReward‐modulated spike‐timing‐dependent plasticity (R‐STDP) is a brain‐inspired reinforcement learning (RL) rule, exhibiting potential for decision‐making tasks and artificial general intelligence. However, the hardware implementation of the reward‐modulation process in R‐STDP usually requires complicated Si complementary metal–oxide–semiconductor (CMOS) circuit design that causes high power consumption and large footprint. Here, a design with two synaptic transistors (2T) connected in a parallel structure is experimentally demonstrated. The 2T unit based on WSe2 ferroelectric transistors exhibits reconfigurable polarity behavior, where one channel can be tuned as n‐type and the other as p‐type due to nonvolatile ferroelectric polarization. In this way, opposite synaptic weight update behaviors with multilevel (>6 bit) conductance states, ultralow nonlinearity (0.56/−1.23), and large Gmax/Gmin ratio of 30 are realized. By applying positive/negative reward to (anti‐)STDP component of 2T cell, R‐STDP learning rules are realized for training the spiking neural network and demonstrated to solve the classical cart–pole problem, exhibiting a way for realizing low‐power (32 pJ per forward process) and highly area‐efficient (100 µm2) hardware chip for reinforcement learning.
Organic Single‐Crystal Actuators and Waveguides that Operate at Low Temperatures
Authors: Lan Linfeng , Li Liang , Di Qi , Yang Xuesong , Liu Xiaokong , Naumov Panče , Zhang Hongyu 
Published: February 2022

AbstractApplications in extreme conditions, such as those encountered in space exploration, require lightweight materials that can retain their elasticity in extremely cold environments. However, cryogenic treatment of most soft polymeric and elastomeric materials results in complete loss of their ability for elastic flow, whereby such materials that are normally ductile become stiff, brittle, and prone to cracking. Here, a facile method for preparation of hybrid organic crystalline materials that are not only cryogenically robust but are also capable of large, recoverable, and reversible deformation at low temperatures is reported. To that end, flexible organic crystals are first mechanically reinforced by a polymer coating and combined with a thermally responsive polymer. The resulting hybrid materials respond linearly and reversibly to temperatures from −15 to −120 °C without fatigue in air as well as in cold vacuum. The approach proposed here not only circumvents one of the main drawbacks that are inherent to the amorphous nature and has thus far limited the applications of polymeric materials at low temperatures, but it also provides a cost‐effective access to a myriad of lightweight sensing, electronic, optical or actuating devices that can operate in low‐temperature environmental settings.
Associating cognitive reserve and brain‐wide gene expression regarding Alzheimer's disease
Authors: Kang Seokhee , Kim Hye Ryun , Seong Joon‐Kyung 
Published: February 2022

AbstractBackgroundCognitive reserve (CR) is susceptibility to brain damages, which impacts the development of Alzheimer’s disease (AD). Whereas CR is associated with certain subnetworks of brain connectivity, little research has been done on identifying genes that contribute to these subnetworks. In this study, we linked these subnetworks to regional variation in brain‐wide gene expression. We utilized Allen Human Brain Atlas (AHBA) in that it comprises gene expression data spanning the whole brain.MethodWe extracted a binary subnetwork regarding CR from AD patients. Then we drew out gene expression patterns in the subnetwork’s regions of interest (ROIs) and constructed a gene network through Weighted Gene Co‐expression Network Analysis (WGCNA). To research the distinctive trait of this sub‐region gene network (SGN), we also constructed a whole‐brain gene network (WGN). We detected modules (clusters of highly interconnected genes) of each network and identified their hub genes (genes with high intra‐modular connectivity). We sought non‐preserved, unique modules in SGN compared to WGN using the median rank statistic. Finally, the biological process ontology of the hub genes was investigated by functional enrichment analysis.ResultWe constructed gene networks based on gene expression data of 10544 genes. WGN consisted of 90 nodes of whole‐brain regions and SGN consisted of 49 nodes of the subnetwork ROIs. While 18 modules were detected in SGN, modules yellow, magenta, red and black were identified as unique modules. Module magenta included novel co‐expressed gene clusters, and the other modules combined genes that were classified as different modules in WGN. Apoptotic process, including apoptosis‐regulation and neuron death, was enriched distinctively in the 4 non‐preserved modules. Neuronal death due to apoptosis is a common pathological feature in the brains of AD patients.ConclusionWe identified brain‐wide gene co‐expression modules that have unique specific connectivity patterns related to the CR subnetwork. This non‐preservation highlights the relevance of CR and gene expression patterns. Moreover, the modules were enriched for AD risk genes, further demonstrating the functional context of CR in AD. This study will provide the groundwork for novel insights and extensive research to associate brain‐wide gene expression and connectome‐wide phenotype regarding AD.
Executive control network (ECN) and default mode network (DMN) functional connectivity in older adults with remitted depression, mild cognitive impairment, Alzheimer’s dementia, or normal cognition
Authors: Rashidi‐Ranjbar Neda 
Published: February 2022

AbstractBackgroundMajor Depressive Disorder (MDD) is associated with an increased risk of developing Alzheimer’s dementia (AD). The present study aims to understand risk for AD by comparing resting state functional connectivity (FC) in putatively shared vulnerability networks; executive control network (ECN) or default mode network (DMN) among older adults who are either healthy or have a history of MDD, MCI, or AD.MethodWe assessed brain functional alterations in ECN and DMN in five groups at‐risk for dementia: remitted MDD, non‐amnestic mild cognitive impairment (naMCI), MDD+naMCI, amnestic MCI (aMCI), and MDD+aMCI. The analysis also included individuals with AD and healthy controls (HC). Resting‐state functional MRI data were acquired on the same 3T scanner. Following quality control (n=330), dual regression was conducted. The ECN and DMN group‐ICA (independent component analysis) were selected from the Smith atlas. Next, the group difference in the functional connectivity (FC) of each network was calculated using PALM (Permutation Analysis of Linear Models).ResultFor within‐network FC in the ECN or DMN, we found no difference between participant groups. For between‐network FC, we found a significant difference between the DMN and the superior parietal lobe (SPL); post‐hoc tests showed decreased anti‐correlation between the AD group compared to the MDD and HC groups (p<0.05).ConclusionThe between‐network difference in DMN among groups was driven by the AD group. There was minimal distinction among those with remitted MDD or MCI. It is possible that remitted MDD may not act as mechanistic risk for AD in ECN or DMN networks.