bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of text generator application with OpenAI GPT-3
Authors: Milani Fitria Kaira
Published: November 2023

The increasing need for text content creation today challenges the development of systems that can alleviate the need for text creation. Currently, text generation is done manually and has various shortcomings, especially in terms of time constraints, human error, limited creativity, and writing that tends to be repetitive by certain people, which can cause a decrease in quality and diversity in the sentences produced. This research was conducted by designing an AI-based text generator application using the GPT-3 language model to generate text automatically and help overcome some obstacles. Applying this app will increase efficiency and productivity, increase the writer's ideas and creativity, automate routine tasks, and produce exciting and communicative sentences. The app's ability to generate text quickly and accurately and be personalized makes it valuable in various fields. The method used in this research is implementing the GPT-3 language model APIs into the text generator application created so that the application can connect with the GPT-3 engine that has been modified in its prompting method. The output of this application is a text that has been adjusted to the user's needs through keywords entered on the web interface system. The result is that the text generator application is good enough to be implemented in various fields, especially text content generation.
Voice Warning to Identify Distance to Obstacles on Smart Cane for Blind People
Authors: Atmiasri Atmiasri , Solikin Akhmad , Zukro A. Rasyida Shabihah
Published: November 2023

Blind people are often hampered in their mobility, while currently available assistive technology includes manual sticks and electronic mobility devices. Currently, the development of smart canes is still being carried out in many studies. Smart cane works by detecting the distance of the cane to obstacles in front of you. From detecting this distance, the response the user gets is generally in the form of vibrations and sounds from the buzzer. The sound provided by the buzzer cannot differentiate the distance between obstacles. Therefore, this study proposes the existence of additional sound playback responses to differentiate far, middle, and near obstacles. Apart from that, the design of the prototype refers to the shape of a flashlight. The smart cane is designed using an Arduini UNO microcontroller with a rechargeable battery power supply with three response components, namely two ISD 1820 modules connected to a speaker to detect long distances (201-300 cm) with a "Hati-hati" sound and medium distances (101-200 cm) with an "Awas" sound, as well as a buzzer and piezoelectric component in the form of a "beep" sound and vibration for close distances (1-100 cm) to obstacles. The result is that both the ultrasonic sensor and response components work according to design. Apart from that, the rechargeable battery supply feature and the implementation of the prototype design make it easier for users to store and use for daily activities.
Pengembangan Tempat Sampah Otomatis Berbasis Internet of Things (IoT) untuk Pengelolaan Sampah Logam dan Non-Logam
Authors: Rozaq Imam Abdul , Dwi Noor Yulita
Published: November 2023

Sampah merupakan merupakan ancaman serius bagi kesejahteraan manusia jika tidak dikolola dengan serius. Sampah setiap hari dihasilkan dari beberapa sektor antara lain rumah tangga, pertanian, industri, sekolah, dan lainya. Selama ini banyak oirang yang buang sampah sembarangan karena malas untuk membuka dan menutup pintu tempah sampah yang disebabkan kotor atau bau, maka dari itu dibuatlah tempat sampah otomatis yang dapat membuka dan menutup secara otomatis dan memilah sampah logam dan non logam yang dihubungkan ke Internet of Things (IoT).Metode yang digunakan dalam penelitian ini adlalah dengan menggunakan diagaram blok, wiring diagram, flowchart cara kerja tempat sampah otomatis, pengujian masing masing sensor.  Komponen yang diguankan adalah sensor ultrasonic HSR-04, sensor proximity LJ12A3-4-Z, Arduino uno, Node MCU ESP8266, motor Servo, Hasil dari penelitian ini untuk sensor ultrasonic mempunyai rata rata tingkat akurasi sebesar 97,68% dan rata-rata tingkat kesalahan sebesear 2,31 %, sedangkan untuk sensor proximity mempunyai nilai tingkat akurasi sebesar 100% dan tingkat kesalahan sebesar 0%. Untuk pengiriman data ke blynk memiliki tingkat akurasi sebesar 100%. Kesimpulan dari penelitian ini adalah telah berhasil dibuat buka tutup pintu tempat sampah otomatis berbasis Internet of Things nenggunakan blynk untuk mengetahui kapasitas tempat sampah logam atau non logam penuh.
Sistem Pengendali Berat Sampah Organik Pada Mesin Pencacah Sampah Organik Berbasis Fuzzy
Authors: Negara Fatahilah Ikra , Syahrorini Syamsudduha , Falah Agus Hayatal , Sulistiyowati Indah
Published: November 2023

limbah dari sampah merupakan masalah yang dianggap serius bagi lingkungan, karena sampah merupakan bahan yang dapat dipenuhi oleh bakteri. Maka dibutuhkan mesin pencacah untuk mendaur ulang, Untuk itu perlu suatu terobosan yang salah satunya menciptakan mesin pencacah dengan tenaga penggerak berupa motor listrik, metode yang digunakan untuk membuat Otomatisasi mesin pencacah ini adalah R&D yang menggunakan arduino sebagai mikrokontroler yang berbasis fuzzyfikasi model mamdani, fuzzyfikasi yang bertugas sebagai waktu lama nya motor akan berkerja sebagai pelindung motor agar tidak terjadi overload atau kelebihan beban yang mengakibatkan motor cepat terbakar, load cell sebagai pengukur berat sampah organik yang akan mengirim sinyal beban saat sampah memasuki ruangan timbangan, lalu motor ac sebagai penggerak akan berputar sesuai dengan waktu yang telah ditentukan, lalu motor ac akan berjalan sebelum motor servo terbuka, dikarenakan motor membutuh start awal untuk bisa mencacah sampah organik, kemudian motor servo akan terbuka setelah mendapatkan sinyal dari loadcell dengan beban nilai 100 gram ini berjalan dengan baik; kunci pintu motor servo dapat menampung sampah organik agar dapat bekerja dengan baik. Hasil penelitian pada motor sedikit diberi torsi.
SI MONEV (Sistem Informasi Monitoring dan Evaluasi) Keuangan pada PT. Sumber Rezekit Jatiadi
Authors: Shudiq Wali Ja'far
Published: November 2023

PT. Sumber Rezeki ini adalah salah satu tempat penyetoran barang yang terbilang cukup besar diwilayah Jatiadi. Dalam sistem penghitungan hasil timbangan, penjualan serta pembelian masih dicatat dibuku. Hal ini sering muncul permasalahan, dimana terjadi data hilang dikarenakan cacatan/buku rusak, sehingga data transaksi tidak dapat ditemukan. Penggajian karyawan masih konvensional tidak adanya fakta pelaporan penggajian sehingga laporan keuangan tidak terdata. Tanpa adanya pelaporan penggajian, pemilik usaha tidak mengetahui gaji yang diberikan kepada karyawan selama perbulan serta pengeluaran dari hasil pemasok yang menimbah dan masih adanya kekeliruan dalam penghitungan total transaksi. Oleh karena itu dibuatlah sebuah Aplikasi Sistem Informasi Monev (Monitoring Dan Evaluasi) Keuangan Usaha Barang Rongsokan Di PT. Sumber Rezeki Jatiadi Gending dengan tujuan dapat memudahkan pemilik usaha barang rongsokan dalam melakukan transaksi, penggajian menurut absensi, memonitoring dan mengevaluasi keuangan usaha, serta mengetahui hasil rekap data laporan keuangan setiap bulannya, sehingga PT. Sumber Rezeki mampu bersaing dengan usaha rongsokan lain. Untuk metode yang digunakan yaitu waterfall proses pengerjaannya dilakukan secara berurutan atau secara linear, untuk desain sistemnya menggunakan Flowchart, DFD, dan ERD.
BATIK JUMPUTAN BAGI GURU TAMAN KANAK-KANAK
Authors: Muhammad Nuruddin  , Ratih Asmarani  , M. Bambang Edi Siswanto
Published: November 2023

Abstract: At the kindergarten, learning is based on 6 aspects in the form of physical, motor, emotional, social, artistic, moral, cognitive and language aspects. One way to realize this is by making batik. There are various techniques on how to make batik, according to the service team, jumputan batik is the most appropriate one to use. Jumputan batik art can improve and develop children's fine motor skills. Steps taken by hands-on practice of making jumputan batik. In general, the service team provides theories to gain insight and knowledge about the art of batik, especially the jumputan batik technique and various jumputan batik motifs that can be formed. The next step, all partisipan divided the participants into small groups, each group of 5 teachers and accompanied by 1 service team. The practice was carried out independently, then the service team asked each group to present their work and explain the jumputan technique of picking them up so that the motif was formed. The final activity is an evaluation. In general, this service activity went smoothly in accordance with the expectations of the service team.Abstrak: Pada masa taman kanak-kanak, pembelajaran didasarkan pada 6 aspek yang berupa aspek fisik motorik, emosi, sosial, seni, moral, kognitif dan bahasa. Salah satu cara untuk merealisasikan hal tersebut adalah dengan membatik. Terdapat bermacam-macam Teknik cara membatik, menurut tim pengabdi batik jumputan adalah yang paling tepat digunakan. Seni membatik jumputan dapat meningkatkan dan mengembangkan kemampuan motorik halus anak. Langkah yang dilakukan dengan praktik secara langsung membuat batik jumputan. Secara umum tim pengabdi memberikan teori guna menambah wawasan dan ilmu pengetahuan tentang seni membatik terutama teknik batik jumputan serta beragam motif batik jumputan yang dapat dibentuk. Langkah selanjutnya tim membagi peserta ke dalam kelompok-kelompok kecil, setiap kelompok 5 orang guru dan didampingi oleh 1 orang tim pengabdi. Praktik secara mandiri dilakukan, kemudian tim pengabdi meminta setiap kelompok untuk mempresentasikan hasil karyanya serta menjelaskan Teknik menjumputnya sehingga terbentuk motif tersebut. Kegiatan akhir berupa evaluasi. Secara umum kegiatan pengabdian ini berjalan dengan lancar sesuai dengan harapan tim pengabdi.
Analisis Sistem Monitoring Daya Listrik Menggunakan Internet of Things ( IoT ) Pada Gedung Teknik Elektro Politeknik Negeri Bengkalis
Authors: Hari Hari Putra , Hamzah Eteruddin  , Monice  , Achmad Nur Aliansyah
Published: November 2023

Listrik merupakan sesuatu yang harus ada dalam kehidupan ini. Keberadaannya wajib dan harus selalu ada. Penggunaan dan pemanfaatan harus dipergunakan sebaik mungkin. Pemanfaatan energi listrik sebaiknya dapat termonitoring dengan baik untuk menghindari pemborosan energi listrik. Biasanya pengukuran penggunaan energi listrik dilakukan dengan alat ukur sederhana dan masih secara manual. Melalui IoT dengan menggunakan blynk hal ini bisa dilakukan secara online sehinggga data yang ingin diperoleh dari monitoring bisa di lihat setiap saat dan realtime. Melalui monitoring berbasis IoT (Internet of Thing) ini, monitoring bisa dilakukan dari jarak jauh dan bisa diakses dengan smartphone. Sistem monitoring ini menggunakan sensor PZEM-004T yang diproses oleh arduino diserialkan dengan nodemcu ESP 8266. Dari hasil pengujian yang telah dilakukan didapatkan error rata-rata yang didapatkan sebesar 2,7 % atau akurasi alat sebesar 97,3 % pada pengukuran arus jika dibandingkan dengan clamp meter merk PeakTech tipe 1615.
Pelatihan dan Pengenalan Open Journal System (OJS) untuk Publikasi Ilmiah
Authors: Hadi Sirad Mochammad Apriyadi
Published: November 2023

Open Journal System (OJS) is a web-based online journal management developed by PKP. OJS facilitates the management of online journal publishing ranging from the receipt of manuscripts from authors, distribution of manuscripts, examination of manuscripts, editing manuscripts to publishing journals. Articles that have been created will be sent through the Open Journal System (OJS). Open Jurnal System is open source software used to manage online scientific journals. Open Jurnal System (OJS) is a journal management application whose publication system is web-based developed by PKP. Based on this background, the practitioner wants to do the service in order to equip students in terms of writing articles to be published in accredited national journals and send through the open journal system. This training is carried out for the introduction of journals to students as a means of publication of their work if graduation requirements are imposed at the Faculty of Engineering, Khairun University. One of the main problems is related to the unavailability of facilities for students to publish their work or research on campus. The training for the introduction of the Open Journal System was carried out using the PROtek website of the Scientific Journal of Electrical Engineering owned by the Electrical Engineering Study Program of the Faculty of Engineering, Khairun University. Based on the results of the service, it can be concluded that final-level students can already write research articles in accordance with the standard of articles in accredited national journals, final-level students can already subsubmite articles in OJS 2-based journals. Keywords: Open Journal System (OJS), Artikel, Sinta, PROtek Scientific Journal of Electrical Engineering
The value of ICG-guided left colon vascular variation and anatomical rules for the radical resection of proctosigmoid colon cancer
Authors: Wang Jiahao , Xie Jiaxin , Lu Xinquan , Lin Jiaxin , Liao Weilin , Yi Xiaojiang , Feng Xiaochuang , Zhu Bosen , Li Wenjuan , Tang Xin , Ao Lin , Chen Zhifeng , Li Hongming , Diao Dechang
Published: November 2023

Objective

During laparoscopic radical resection for proctosigmoid colon cancer (PCC), surgeons could inadvertently damage the arteries when following the operation path.This study investigated the variations in left colon blood vessels in order to guide the scientific protection of the marginal artery (MA) during laparoscopic surgery for PCC.

Methods

Data from seven patients who underwent inferior mesenteric artery (IMA) angiography were included as imaging references to preliminarily explore the vascular structure and variation in the left colon. The clinical video data of 183 PCC patients were retrospectively analyzed to observe intraoperative MA injury. Meanwhile, a prospective cohort of 96 patients with the same disease underwent intraoperative indocyanine green (ICG) fluorescence imaging of the peripheral sigmoid artery network, the variation of marginal arteries was summarized, and the distance between vessels and the bowel was measured at different levels. Patients were divided into ‘ICG group’ and ‘non-ICG group’ according to whether ICG guidance was performed, and perioperative conditions were compared between the two groups. Taking the integrity of lymph node dissection into consideration, 18 patients underwent carbon nanonode tracing. This study was conducted under the standard consent and ethical approval of the Ethics Committee of our center.

Results

7 patients with IMA angiography shared some vascular structures, defined as ‘Dangerous Triangle’ and ‘Secure Window’. Through intraoperative observation, the primary arch was typically located 4.2 (2.3-6.0) cm away from the intestinal canal, and 5.21% (5/96) patients had poor anastomosis at the primary arch. Moreover, secondary vascular arches (6.4 (4.6-10.0) cm from the intestinal wall) were observed in 38.54% of patients. MA injury was identified in 2 of 183 cases, and the ischemic bowel was timely dissected, whereas no such injury occurred during ICG fluorescenceguided surgery. Guided by carbon nanoparticles, the integrity of lymph node dissection can be maintained while preserving the secondary arch in all patients.

Conclusions

This study demonstrated the benefits of ICG guidance in protecting the intestinal blood supply in laparoscopic PCC surgery. By enhancing the understanding of primary and secondary vascular arches, secure windows, and dangerous triangles, surgeons can safely optimize the surgical path during surgery.
Vibrotactile feedback as a countermeasure for spatial disorientation
Authors: Vimal Vivekanand Pandey , Panic Alexander Sacha , Lackner James R. , DiZio Paul
Published: November 2023

Spaceflight can make astronauts susceptible to spatial disorientation which is one of the leading causes of fatal aircraft accidents. In our experiment, blindfolded participants used a joystick to balance themselves while inside a multi-axis rotation device (MARS) in either the vertical or horizontal roll plane. On Day 1, in the vertical roll plane (Earth analog condition) participants could use gravitational cues and therefore had a good sense of their orientation. On Day 2, in the horizontal roll plane (spaceflight analog condition) participants could not use gravitational cues and rapidly became disoriented and showed minimal learning and poor performance. One potential countermeasure for spatial disorientation is vibrotactile feedback that conveys body orientation provided by small vibrating devices applied to the skin. Orientation-dependent vibrotactile feedback provided to one group enhanced performance in the spaceflight condition but the participants reported a conflict between the accurate vibrotactile cues and their erroneous perception of their orientation. Specialized vibrotactile training on Day 1 provided to another group resulted in significantly better learning and performance in the spaceflight analog task with vibrotactile cueing. In this training, participants in the Earth analog condition on Day 1 were required to disengage from the task of aligning with the gravitational vertical encoded by natural vestibular/somatosensory afference and had to align with randomized non-vertical directions of balance signaled by vibrotactile feedback. At the end of Day 2, we deactivated the vibrotactile feedback after both vibration-cued groups had practiced with it in the spaceflight analog condition. They performed as well as the group who did not have any vibrotactile feedback. We conclude that after appropriate training, vibrotactile orientation feedback augments dynamic spatial orientation and does not lead to any negative dependence.
RE-AIM applied to a primary care workforce training for rural providers and nurses: the Department of Veterans Affairs' Rural Women's Health Mini-Residency
Authors: Golden Rachel E. , Sanders Aimee M. , Frayne Susan M.
Published: November 2023

Introduction

Application of the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to evaluate workforce education and training programs targeting clinical health care staff has received relatively little attention. This paper aims to contribute to this area with RE-AIM findings from a women's health-focused workforce training program implemented by the U.S. Department of Veterans Affairs (VA). Over the past two decades, the rapid expansion of the women Veteran population in VA has necessitated a quick response to meet clinical demand. To address this health care need, the VA Offices of Rural Health (ORH) and Women's Health (OWH) partnered to deploy a primary care workforce development initiative for Rural Providers and Nurses—the Rural Women's Health Mini-Residency (Rural WH-MR)—to train VA clinicians in rural locations in skills for the care of women Veterans. Here we assess the applicability of RE-AIM as an evaluation framework in this context.

Methods

We evaluated the Rural WH-MR, relying on a primarily quantitative approach, rooted in RE-AIM. It included longitudinal and cross-sectional measurements from multiple quantitative and qualitative data sources to develop selected metrics. Data collection instruments consisted of pre-, post-, and follow-up training surveys, course evaluations, existing VA databases, and implementation reports. We developed metrics for and assessed each RE-AIM component by combining data from multiple instruments and then triangulating findings.

Results

Results from the Rural WH-MR program for fiscal years 2018–2020 indicate that RE-AIM provides an instructive evaluation framework for a rural workforce training program, particularly in eliciting clarity between measures of Reach vs. Adoption and focusing attention on both provider- and patient-level outcomes.

Discussion

We describe evaluation metric development and barriers to and facilitators of utilizing RE-AIM as an evaluation framework for a provider- and nurse-facing intervention such as this workforce training program. We also reflect upon RE-AIM benefits for highlighting process and outcomes indicators of a training program's success and lessons learned for evaluating rural workforce development innovations. Several of our observations have implications for training and evaluation approaches in rural areas with more limited access to health care services.
Genome Mining Uncovers NRPS and PKS Clusters in Rothia dentocariosa with Inhibitory Activity against Neisseria Species
Authors: Akomoneh Elvis Achondou , Gestels Zina , Abdellati Saïd , Vereecken Katleen , Bartholomeeusen Koen , Van den Bossche Dorien , Kenyon Chris , Manoharan-Basil Sheeba Santhini
Published: November 2023

The growing global threat of antimicrobial resistance is reaching a crisis point as common bacterial infections, including those caused by pathogenic Neisseria species, are becoming increasingly untreatable. This is compelling the scientific community to search for new antimicrobial agents, taking advantage of computational mining and using whole genome sequences to discover natural products from the human microbiome with antibiotic effects. In this study, we investigated the crude extract from a Rothia dentocariosa strain with demonstrated antimicrobial activity against pathogenic Neisseria spp. by spot-on-lawn assay. The genomic DNA of the R. dentocariosa strain was sequenced, and bioinformatic evaluation was performed using antiSMASH and PRISM to search for biosynthetic gene clusters (BGCs). The crude extract with potential antimicrobial activity was run on Tricine-SDS-PAGE, and the putative peptides were characterised using liquid chromatography–tandem mass spectrometry (LC-MS). The crude extract inhibited the growth of the pathogenic Neisseria spp. Six BGCs were identified corresponding to non-ribosomal peptide synthases (NRPSs), polyketide synthases (PKSs), and ribosomally synthesised and post-translationally modified peptides. Three peptides were also identified corresponding to Actinorhodin polyketide putative beta-ketoacyl synthase 1. These findings serve as a useful reference to facilitate the research and development of NRPS and PKS as antimicrobial products against multidrug-resistant N. gonorrhoeae.
A Method for Precise Tracking Control of Pneumatic Artificial-Muscle-Driven Exoskeletal Robot
Authors: Ma Gaoke , Jia Hongyun , Xiao Jichun , Hao Lina
Published: November 2023

Exoskeletal robots are of critical importance in the domain of mechanical boosting. The pneumatic artificial muscle (PAM) is commonly used as a flexible actuator in exoskeletal robots designed for upper limbs due to its high power-to-weight ratio, conformability, and safety. This study establishes a new model based on the existing model to improve its control precision by implementing elastic and frictional forces and empirical coefficients, battling against the time-variant hysteresis that PAM’s output force exhibits. In the meantime, a BP neural network is employed in reverse modeling, followed by the adoption of the least-square-based particle swarm optimization algorithm in order to determine the optimized parameter values. PAM provides the Upper Limb Exoskeletal Robot with appropriate auxiliary power, which can be adjusted to accommodate variations in posture change during the lifting process. PAM is also capable of handling variable loads based on the principle of torque balance, constructing a control system according to the inverse dynamics of exoskeletal robots accompanied by an inverse model of PAM’s output force, and finally, rendering tracking control of the elbow angle during the auxiliary process possible. Finally, the tracking error results are calculated and shown; the maximum angular error in the tracking process is 0.0175 rad, MAE value is 0.0038 rad, RMSE value is 0.0048 rad, and IEAT value is 4.6426 rad. This control method is able to improve the precision of tracking control of the elbow angle of the upper limb–exoskeleton coupled system during the process of lifting goods.
Modelling of a SMA Blade Twist System Suited for Demonstration in Wind Tunnel and Whirl Tower Plants
Authors: Ameduri Salvatore , Ciminello Monica , Concilio Antonio , Dimino Ignazio , Galasso Bernardino , Guida Mariano , Bruno Giovanni , Miceli Marco Fabio
Published: November 2023

In this work, the modeling of a demonstrator of a morphing system aimed at altering the twist of a rotorcraft blade is presented. The device was conceived for two different representative environments: the wind tunnel plant of the University of Bristol and the whirl tower facility of the DLR, for tests in fixed and wing rotary configurations, respectively. The concept, conceived and matured within the European Project of SABRE, is based on shape memory alloys, SMA. This technology was selected for its intrinsic compactness and solidity, which better meet the requirements of a typical blade structure, being extremely flexible and subjected to relevant inertial loads. A dedicated structural layout was conceived to favor the working modality of the SMA torsional system; this architecture was tailored both to absorb the typical actions occurring onto a blade and to assure a certain level of pre-twist necessary for the SMA strain recovery. The activation of the SMA was performed through an electrothermal helicoidal coil wrapped around it. A dedicated network of sensors was integrated within the structure to measure the impact of the different actions on the blade system. This subsystem, functional to shape reconstruction operations, is capable of splitting the contribution of the loads to pure twist and flapping. At first, the requirements imposed by the two test facilities were elaborated together to the operational needs, arriving at the issue of the most relevant specifications. Secondly, the conceptual and advanced design were considered, demonstrating, first, the feasibility of the concept and, then, its compliance with the test environment. The work ends with two different layouts, conceived respectively for the tests in fixed and rotary wing configurations. For both of them, a performance estimate was addressed, and a discussion on the advantages and disadvantages was presented.
Study of the Migrating Mine Gas Piston Effect during Reactivation of Tectonic Faults
Authors: Batugin Andrian , Kobylkin Alexander , Kolikov Konstantin , Ivannikov Alexander , Musina Valeria , Khotchenkov Evgeny , Zunduijamts Byambasuren , Ertuganova Elmira , Krasnoshtanov Daniil
Published: November 2023

The hypothesis of the piston effect during mine gas migration caused by fault reactivation was studied, with the use of computer modeling, to explain cases of a sudden appearance of mine gases on the earth surface in coal mining areas. The study is based on the factual data of the mode and amplitudes of subsidence along faults during mining, the morphology of the fault planes, and the theoretical ideas about the discrete nature of the fault wall displacement along uneven contact surfaces. It is taken into account that the walls of the fault, due to the asperity types “ridge” and “sag”, form contacts of the “ridge–ridge” and “ridge–sag” patterns. This study examines the situation where gas pressure in the fracture space can sharply increase due to the jerky displacement of reactivated tectonic fault walls with a rough fault plane. It is assumed that, in the first phase of reactivation, the fracture space expands as a result of the displacer opening and the fact that fault plane asperities engage in the “ridge–ridge” type of contact. With the subsequent relative displacement of the fault walls in the second phase of reactivation, the contact changes into the “ridge–sag” type and a sharp reduction in the fracture space volume occurs. It is shown that a “piston effect” emerges due to the reduction in fracture space and that it promotes an increase in gas pressure and stimulates gas movement to the surface through the available channels. The resulting “piston effects” may also be responsible for the suddenly raised gas content recorded in the air of surface structures and recurrent mine gas migration onto the surface. The findings expand our understanding of the sudden gasification of the earth surface and living spaces in coal mining areas and contribute to the understanding of the gas migration process, thereby helping to monitor hazards.
Application of Additive Manufacturing Technology for Chair Parts Connections
Authors: Nicolau Antoniu , Pop Mihai Alin , Georgescu Sergiu Valeriu , Coșereanu Camelia
Published: November 2023

Additive manufacturing (AM) is a potential technology to be applied for replacing wood joints in the furniture industry. Overall, 3D-printed connectors have a lot of advantages in chair construction: the possibility of improving the design by using colored materials and new concepts with no limits of shape and size, avoiding the use of synthetic materials such as adhesives and finishing materials. The present research shows the results of the research conducted on 3D-printed connectors for a chair leg-stretchers joint. Larch (Larix decidua Mill.) wood was used for chair components and selective laser sintering (SLS) technology was employed for the 3D-printing connector designed to assemble the chair elements. Diagonal tensile and compression tests were performed on the L-type joints with 3D-printed connectors and the bending moments were determined and compared to the results obtained after testing the leg-stretchers mortise–tenon joints made of larch wood, taken as a reference. Micrograph investigation was finally performed on the broken areas of the 3D-printed connectors as a result of mechanical testing failures. The results show that the SLS printing technology applied to build the connector does not ensure enough strength to the assembly, and changes in printing parameters are needed for further research, in terms of laser power and scan speed.
Immune Responses Induced at One Hour Post Cataract Surgery Wounding of the Chick Lens
Authors: DeDreu JodiRae , Basta Morgan D. , Walker Janice L. , Menko A. Sue
Published: November 2023

While the lens is an avascular tissue with an immune-privileged status, studies have now revealed that there are immune responses specifically linked to the lens. The response to lens injury, such as following cataract surgery, has been shown to involve the activation of the resident immune cell population of the lens and the induction of immunomodulatory factors by the wounded epithelium. However, there has been limited investigation into the immediate response of the lens to wounding, particularly those induced factors that are intrinsic to the lens and its associated resident immune cells. Using an established chick embryo ex vivo cataract surgery model has made it possible to determine the early immune responses of this tissue to injury, including its resident immune cells, through a transcriptome analysis. RNA-seq studies were performed to determine the gene expression profile at 1 h post wounding compared to time 0. The results provided evidence that, as occurs in other tissues, the resident immune cells of the lens rapidly acquired a molecular signature consistent with their activation. These studies also identified the expression of many inflammatory factors by the injured lens that are associated with both the induction and regulation of the immune response.
Barriers and Enablers to the Adoption of Circular Economy Concept in the Building Sector: A Systematic Literature Review
Authors: AlJaber Abdulaziz , Martinez-Vazquez Pedro , Baniotopoulos Charalampos
Published: November 2023

The building sector is a major contributor to global resource consumption and waste generation. The circular economy (CE) concept offers a promising alternative to the traditional linear economy by promoting the reuse, remanufacture, repair, and recycling of materials and products. However, the adoption of CE in the building sector faces several barriers. This paper presents a systematic literature review utilising the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach, focusing on the barriers and enablers influencing the adoption of the CE concept in the building sector. Drawing from an analysis of numerous papers published between 2008 and 2023, we identified a high number of barriers and enablers that delay the integration of CE. The barriers were categorised into six categories: awareness, technical, economic and market, implementation, support/promotion, and social. The paper also discusses the interdependence of the identified barriers, using a co-occurrence matrix. The study findings indicate lack of CE regulations, fragment supply chain, and high upfront investment cost as major barriers to the implementation of CE in the building sector. Based on the study results, stringent governance and legislation, financial incentives, and the development of technology and innovation for circular building tools are critical factors for the successful implementation of CE principles. The results of this study provide a comprehensive overview of the feasibility to CE adoption in the building sector, which could also help to develop strategies to accelerate the transition to an integrated CE.
Discovery, Structure–Activity Relationship and In Vitro Anticancer Activity of Small-Molecule Inhibitors of the Protein–Protein Interactions between AF9/ENL and AF4 or DOT1L
Authors: Li Xin , Wu Xiaowei , Nie Shenyou , Zhao Jidong , Yao Yuan , Wu Fangrui , Mishra Chandra Bhushan , Ashraf-Uz-Zaman Md , Moku Bala Krishna , Song Yongcheng
Published: November 2023

Chromosomal translocations involving the mixed lineage leukemia (MLL) gene cause 5–10% acute leukemias with poor clinical outcomes. Protein–protein interactions (PPI) between the most frequent MLL fusion partner proteins AF9/ENL and AF4 or histone methyltransferase DOT1L are drug targets for MLL-rearranged (MLL-r) leukemia. Several benzothiophene-carboxamide compounds were identified as novel inhibitors of these PPIs with IC50 values as low as 1.6 μM. Structure–activity relationship studies of 77 benzothiophene and related indole and benzofuran compounds show that a 4-piperidin-1-ylphenyl or 4-pyrrolidin-1-ylphenyl substituent is essential for the activity. The inhibitors suppressed expression of MLL target genes HoxA9, Meis1 and Myc, and selectively inhibited proliferation of MLL-r and other acute myeloid leukemia cells with EC50 values as low as 4.7 μM. These inhibitors are useful chemical probes for biological studies of AF9/ENL, as well as pharmacological leads for further drug development against MLL-r and other leukemias.
Oncological Outcomes, Long-Term Toxicities, Quality of Life and Sexual Health after Pencil-Beam Scanning Proton Therapy in Patients with Low-Grade Glioma
Authors: Willmann Jonas , Leiser Dominic , Weber Damien Charles
Published: November 2023

Purpose: To assess oncological outcomes, toxicities, quality of life (QoL) and sexual health (SH) of low-grade glioma (LGG) patients treated with pencil-beam scanning proton therapy (PBS-PT). Material and methods: We retrospectively analyzed 89 patients with LGG (Neurofibromatosis type 1; n = 4 (4.5%) patients) treated with PBS-PT (median dose 54 Gy (RBE)) from 1999 to 2022 at our institution. QoL was prospectively assessed during PBS-PT and yearly during follow-up from 2015 to 2023, while a cross-sectional exploration of SH was conducted in 2023. Results: Most LGGs (n = 58; 65.2%) were CNS WHO grade 2 and approximately half (n = 43; 48.3%) were located in the vicinity of the visual apparatus/thalamus. After a median follow-up of 50.2 months, 24 (27%) patients presented with treatment failures and most of these (n = 17/24; 70.8%) were salvaged. The 4-year overall survival was 89.1%. Only 2 (2.2%) and 1 (1.1%) patients presented with CTCAE grade 4 and 3 late radiation-induced toxicity, respectively. No grade 5 late adverse event was observed. The global health as a domain of QoL remained stable and comparable to the reference values during PBS-PT and for six years thereafter. Sexual satisfaction was comparable to the normative population. Conclusions: LGG patients treated with PBS-PT achieved excellent long-term survival and tumor control, with exceptionally low rates of high-grade late toxicity, and favorable QoL and SH.
Exploring Neoadjuvant Chemotherapy, Predictive Models, Radiomic, and Pathological Markers in Breast Cancer: A Comprehensive Review
Authors: Elsayed Basma , Alksas Ahmed , Shehata Mohamed , Mahmoud Ali , Zaky Mona , Alghandour Reham , Abdelwahab Khaled , Abdelkhalek Mohamed , Ghazal Mohammed , Contractor Sohail , El-Din Moustafa Hossam , El-Baz Ayman
Published: November 2023

Breast cancer retains its position as the most prevalent form of malignancy among females on a global scale. The careful selection of appropriate treatment for each patient holds paramount importance in effectively managing breast cancer. Neoadjuvant chemotherapy (NACT) plays a pivotal role in the comprehensive treatment of this disease. Administering chemotherapy before surgery, NACT becomes a powerful tool in reducing tumor size, potentially enabling fewer invasive surgical procedures and even rendering initially inoperable tumors amenable to surgery. However, a significant challenge lies in the varying responses exhibited by different patients towards NACT. To address this challenge, researchers have focused on developing prediction models that can identify those who would benefit from NACT and those who would not. Such models have the potential to reduce treatment costs and contribute to a more efficient and accurate management of breast cancer. Therefore, this review has two objectives: first, to identify the most effective radiomic markers correlated with NACT response, and second, to explore whether integrating radiomic markers extracted from radiological images with pathological markers can enhance the predictive accuracy of NACT response. This review will delve into addressing these research questions and also shed light on the emerging research direction of leveraging artificial intelligence techniques for predicting NACT response, thereby shaping the future landscape of breast cancer treatment.
Identification of a Complex Karyotype Signature with Clinical Implications in AML and MDS-EB Using Gene Expression Profiling
Authors: Lee Cheonghwa , Kim Ha Nui , Kwon Jung Ah , Hwang Jinha , Park Ji-Ye , Shin Ok Sarah , Yoon Soo-Young , Yoon Jung
Published: November 2023

Complex karyotype (CK) is associated with a poor prognosis in both acute myeloid leukemia (AML) and myelodysplastic syndrome with excess blasts (MDS-EB). Transcriptomic analyses have improved our understanding of the disease and risk stratification of myeloid neoplasms; however, CK-specific gene expression signatures have been rarely investigated. In this study, we developed and validated a CK-specific gene expression signature. Differential gene expression analysis between the CK and non-CK groups using data from 348 patients with AML and MDS-EB from four cohorts revealed enrichment of the downregulated genes localized on chromosome 5q or 7q, suggesting that haploinsufficiency due to the deletion of these chromosomes possibly underlies CK pathogenesis. We built a robust transcriptional model for CK prediction using LASSO regression for gene subset selection and validated it using the leave-one-out cross-validation method for fitting the logistic regression model. We established a 10-gene CK signature (CKS) predictive of CK with high predictive accuracy (accuracy 94.22%; AUC 0.977). CKS was significantly associated with shorter overall survival in three independent cohorts, and was comparable to that of previously established risk stratification models for AML. Furthermore, we explored of therapeutic targets among the genes comprising CKS and identified the dysregulated expression of superoxide dismutase 1 (SOD1) gene, which is potentially amenable to SOD1 inhibitors.
Predictive Factors Associated with Declining Psycho-Oncological Support in Patients with Cancer
Authors: Hecht Karoline , Günther Moritz Philipp , Kirchebner Johannes , Götz Anna , von Känel Roland , Schulze Jan Ben , Euler Sebastian
Published: November 2023

(1) Background: International cancer treatment guidelines recommend low-threshold psycho-oncological support based on nurses’ routine distress screening (e.g., via the distress thermometer and problem list). This study aims to explore factors which are associated with declining psycho-oncological support in order to increase nurses’ efficiency in screening patients for psycho-oncological support needs. (2) Methods: Using machine learning, routinely recorded clinical data from 4064 patients was analyzed for predictors of patients declining psycho-oncological support. Cross validation and nested resampling were used to guard against model overfitting. (3) Results: The developed model detects patients who decline psycho-oncological support with a sensitivity of 89% (area under the cure of 79%, accuracy of 68.5%). Overall, older patients, patients with a lower score on the distress thermometer, fewer comorbidities, few physical problems, and those who do not feel sad, afraid, or worried refused psycho-oncological support. (4) Conclusions: Thus, current screening procedures seem worthy to be part of daily nursing routines in oncology, but nurses may need more time and training to rule out misconceptions of patients on psycho-oncological support.
A Novel Image-Classification-Based Decoding Strategy for Downlink Sparse Code Multiple Access Systems
Authors: Chen Zikang , Ge Wenping , Chen Juan , He Jiguang , He Hongliang
Published: November 2023

The introduction of sparse code multiple access (SCMA) is driven by the high expectations for future cellular systems. In traditional SCMA receivers, the message passing algorithm (MPA) is commonly employed for received-signal decoding. However, the high computational complexity of the MPA falls short in meeting the low latency requirements of modern communications. Deep learning (DL) has been proven to be applicable in the field of signal detection with low computational complexity and low bit error rate (BER). To enhance the decoding performance of SCMA systems, we present a novel approach that replaces the complex operation of separating codewords of individual sub-users from overlapping codewords using classifying images and is suitable for efficient handling by lightweight graph neural networks. The eigenvalues of training images contain crucial information, such as the amplitude and phase of received signals, as well as channel characteristics. Simulation results show that our proposed scheme has better BER performance and lower computational complexity than other previous SCMA decoding strategies.
Investigating the Performance of Efficient and Stable Planer Perovskite Solar Cell with an Effective Inorganic Carrier Transport Layer Using SCAPS-1D Simulation
Authors: Mehmood Safdar , Xia Yang , Qu Furong , He Meng
Published: November 2023

Organic–inorganic metal halide perovskite (OIMHP) has emerged as a promising material for solar cell application due to their outstanding optoelectronics properties. The perovskite-based solar cell (PSC) demonstrates a significant enhancement in efficiency of more than 20%, with a certified efficiency rating of 23.13%. Considering both the Shockley limit and bandgap, there exists a substantial potential for further efficiency improvement. However, stability remains a significant obstacle in the commercialization of these devices. Compared to organic carrier transport layers (CTLs), inorganic material such as ZnO, TiO2, SnO2, and NiOX offer the advantage of being deposited using atomic layer deposition (ALD), which in turn improves the efficiency and stability of the device. In this study, methylammonium lead iodide (MAPbI3)-based cells with inorganic CTL layers of SnO2 and NiOX are simulated using SCAPS-1D software. The cell structure configuration comprises ITO/SnO2/CH3NH3PbI3/NiOX/Back contact where SnO2 and NiOX act as ETL and HTL, respectively, while ITO is a transparent front-end electrode. Detailed investigation is carried out into the influence of various factors, including MAPbI3 layer size, the thickness of CTLs, operating temperature parasitic resistance, light intensity, bulk defects, and interfacial defects on the performance parameters. We found that the defects in layers and interface junctions greatly influence the performance parameter of the cell, which is eliminated through an ALD deposition approach. The optimum size of the MAPbI3 layer and CTL was found to be 400 nm and 50 nm, respectively. At the optimized configuration, the PSC demonstrates an efficiency of 22.13%, short circuit current (JSC) of 20.93 mA/m2, open circuit voltage (VOC) of 1.32 V, and fill factor (FF) of 70.86%.
Predict the Gelling Properties of Alkali-Induced Egg White Gel Based on the Freshness of Duck Eggs
Authors: Sun Jun , Wang Jialei , Lin Wan , Li Baochang , Ma Ruipeng , Huang Yuqian , Obadi Mohammed
Published: November 2023

Preserved egg white (PEW) has excellent gelling properties but is susceptible to the freshness of raw eggs. In this study, the correlation between the comprehensive freshness index (CFI) of raw eggs and the gelling properties of alkali-induced egg white gel (EWG) was elucidated. Results showed that the CFI, established by a principal component analysis (PCA) and stepwise regression analysis (SRA) methods, can be used to predict the freshness of duck eggs under storage conditions of 25 °C and 4 °C. A correlation analysis demonstrated that the CFI showed a strong negative correlation with the hardness and chewiness of alkali-induced EWG and a strong positive correlation with resilience within 12 days of storage at 25 °C and 20 days at 4 °C (p < 0.01). It might be due to the decrease in α-helix and disulfide bonds, as well as the hydrophobic interactions showing a first decrease and then an increase within the tested days. This study can provide an important theoretical basis for preserved egg pickling.
An Investigation on Fractal Characteristics of the Superposition of Fractal Surfaces
Authors: Wang Xuefei
Published: November 2023

In this paper, we conduct research on the fractal characteristics of the superposition of fractal surfaces from the view of fractal dimension. We give the upper bound of the lower and upper box dimensions of the graph of the sum of two bivariate continuous functions and calculate the exact values of them under some particular conditions. Further, it has been proven that the superposition of two continuous surfaces cannot keep the fractal dimensions invariable unless both of them are two-dimensional. A concrete example of a numerical experiment has been provided to verify our theoretical results. This study can be applied to the fractal analysis of metal fracture surfaces or computer image surfaces.
Back-Analysis of Structurally Controlled Failure in an Open-Pit Mine with Machine Learning Tools
Authors: McQuillan Alison , Mitelman Amichai , Elmo Davide
Published: November 2023

Over the past decades, numerical modelling has become a powerful tool for rock mechanics applications. However, the accurate estimation of rock mass input parameters remains a significant challenge. Machine learning (ML) tools have recently been integrated to enhance and accelerate numerical modelling processes. In this paper, we demonstrate the novel use of ML tools for calibrating a state-of-the-art three-dimensional (3D) finite-element (FE) model of a kinematic structurally controlled failure event in an open-pit mine. The failure event involves the detachment of a large wedge, thus allowing for the accurate identification of the geometry of the rock joints. FE models are automatically generated according to estimated ranges of joint input parameters. Subsequently, ML tools are used to analyze the synthetic data and calibrate the strength parameters of the rock joints. Our findings reveal that a relatively small number of models are needed for this purpose, rendering ML a highly useful tool even for computationally demanding FE models.