bluuebunny/crossref_metadata_2025 huggingface dataset:
Draft genome of pin nematode Paratylenchus projectus recovered from rhizosphere of blueberry
Authors: Liu Liang-Qin , Fu Wei-Qi , Ma Yuan-Yuan , Liu Zhi-Yin , Ge Chun-feng , Yang Yi-Ru , Qing Xue , Zeng Qi-Long
Published: February 2025

Background

The pin nematode, belonging to the genus Paratylenchus, parasitizes higher plants, often causing reduced or inhibited root tip development.

Methods

Pin nematodes were isolated from the roots and rhizosphere of blueberry plants and subsequently identified as representatives of Paratylenchus projectus based on morphological characteristics and molecular barcoding. The P. projectus draft genome was sequenced using the Illumina platform.

Results

Phylogenetic analysis based on 18S, 28S and ITS rRNA placed this species in highly supported clades alongside other P. projectus specimens. The draft genome of P. projectus was sequenced and assembled, representing the first genomic data for both the genus Paratylenchus and the family Tylenchulidae. The assembled genome, though fragmented, had a total length of 191.36 Mb and an estimated genome size of 64.9 Mb. Protein-coding genes were predicted using four different databases, with particular focus on carbohydrate-active enzymes from the GH5 and GH18 families. The recovered GH5 genes were distributed among three distinct clades: one forming a basal group relative to other nematodes, one as a sister clade to the fungivorous nematode Aphelenchus avenae and one nested within a fungal clade. The GH18 chitinase genes were grouped into two clades: one closely related to sedentary plant-parasitic nematodes of the genera Heterodera and Globodera and the other closely related to the fungivorous nematode Ditylenchus.

Conclusions

The draft genome of Paratylenchus projectus was sequenced and assembled, representing the first genomic data for both the genus Paratylenchus and the family Tylenchulidae to our knowledge.

Graphical Abstract
Women’s perspectives on ultrasound as primary imaging modality for focal breast complaints: a qualitative study
Authors: Siebers Carmen C. N. , Appelman Linda , Palm Mette , Rainey Linda , Broeders Mireille J. M. , Mann Ritse M.
Published: February 2025

Objectives

The breast ultrasound trial (BUST) demonstrates a high negative predictive value of ultrasound for women presenting with focal breast complaints, suggesting a potential shift from mammography/digital breast tomosynthesis (DBT) to ultrasound as a primary imaging modality. This BUST side-study explored women’s perspectives on adopting ultrasound as the primary diagnostic tool.

Methods

Twenty-nine female BUST participants (mean age = 48.4, SD = 8.3) with benign findings after diagnostic evaluation participated in one of six focus group interviews 18–24 months post-imaging. Discussions were transcribed and analyzed thematically.

Results

Four overarching themes were identified; personal health situation, organization of breast care, effectiveness of imaging, and professionals’ attitudes and roles. Participants considered their own health history and complaint type (personal health situation) and discussed eligibility for national screening programs and the costs of both exams (organization of breast care). Opinions varied on the effectiveness of imaging, particularly regarding the importance of detecting additional non-symptomatic findings with mammography/DBT that may be missed by ultrasound. Concerns were also raised about implementing research findings without conclusive scientific evidence. Health professionals’ attitudes and roles encompassed the influence of GPs’ and radiologists’ attitudes and the process of image interpretation.

Conclusion

These findings reveal diverse attitudes of women towards ultrasound as a primary modality, warranting caution when transitioning to new clinical standards. Providing comprehensive information about the evidence on the benefits and risks of different imaging modalities is essential, and fostering shared decision-making could enhance acceptance. Offering women the choice of additional imaging, such as mammography/DBT after an initial ultrasound, may balance clinical performance with patient autonomy.

Critical relevance statement

Patients’ perspectives on medical procedures are increasingly significant in modern healthcare. Women’s perceived barriers and facilitators to diagnostic imaging, shaped by numerous factors, offer healthcare professionals insights beyond pure biomedical approaches, fostering shared decision-making within radiology and other clinical contexts.

Key Points

This study explores women’s perspectives on breast ultrasound as a primary imaging modality.

Attitudes towards an ultrasound-first approach are shaped by internal and external considerations.

Considerations are highly informed by emotional responses and lack of knowledge.

Insights into women’s perspectives inform healthcare professionals and foster shared decision-making within radiology.

Graphical Abstract
Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data
Authors: Punjabi Dev , Huang Yu-Chieh , Holzhauer Laura , Tremouilhac Pierre , Friederich Pascal , Jung Nicole , Bräse Stefan
Published: February 2025

In this study, we propose a neural network- based approach to analyze IR spectra and detect the presence of functional groups. Our neural network architecture is based on the concept of learning split representations. We demonstrate that our method achieves favorable validation performance using the NIST dataset. Furthermore, by incorporating additional data from the open-access research data repository Chemotion, we show that our model improves the classification performance for nitriles and amides.

Scientific contribution: Our method exclusively uses IR data as input for a neural network, making its performance, unlike other well-performing models, independent of additional data types obtained from analytical measurements. Furthermore, our proposed method leverages a deep learning model that outperforms previous approaches, achieving F1 scores above 0.7 to identify 17 functional groups. By incorporating real-world data from various laboratories, we demonstrate how open-access, specialized research data repositories can serve as yet unexplored, valuable benchmark datasets for future machine learning research.
To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions
Authors: Chen Pengyu , Yang Zhenwei , Ning Peigang , Yuan Hao , Qi Zuochao , Li Qingshan , Meng Bo , Zhang Xianzhou , Yu Haibo
Published: February 2025

Background

This study aims to introduce the concept of habitat subregions and construct an accurate prediction model by analyzing refined medical images, to predict lymph node metastasis (LNM) in patients with intrahepatic cholangiocarcinoma (ICC) before surgery, and to provide personalized support for clinical decision-making.

Methods

Clinical, radiological, and pathological data from ICC patients were retrospectively collected. Using information from the arterial and venous phases of multisequence CT images, tumor habitat subregions were delineated through the K-means clustering algorithm. Radiomic features were extracted and screened, and prediction models based on different subregions were constructed and compared with traditional intratumoral models. Finally, a lymph node metastasis prediction model was established by integrating the features of several subregional models, and its performance was evaluated.

Results

A total of 164 ICC patients were included in this study, 103 of whom underwent lymph node dissection. The patients were divided into LNM- and LNM + groups on the basis of lymph node status, and significant differences in white blood cell indicators were found between the two groups. Survival analysis revealed that patients with positive lymph nodes had significantly worse prognoses. Through cluster analysis, the optimal number of habitat subregions was determined to be 5, and prediction models based on different subregions were constructed. A comparison of the performance of each model revealed that the Habitat1 and Habitat5 models had excellent performance. The optimal model obtained by fusing the features of the Habitat1 and Habitat5 models had AUC values of 0.923 and 0.913 in the training set and validation set, respectively, demonstrating good predictive ability. Calibration curves and decision curve analysis further validated the superiority and clinical application value of the model.

Conclusions

This study successfully constructed an accurate prediction model based on habitat subregions that can effectively predict the lymph node metastasis of ICC patients preoperatively. This model is expected to provide personalized decision support to clinicians and help to optimize treatment plans and improve patient outcomes.
Identification of a dual-function peptide for the detection and haematopoietic potency assessment of type I collagen hydrolysates
Authors: Deng Guiya , Wang Jiajun , Men Cuicui , Cao Keyi , Li Chengming , Zheng Liang , Liu Haibin , Guo Shangwei , Huang Yaqin
Published: February 2025

Type I collagen hydrolysate with haematopoietic activity has shown tremendous potential for application in the functional food fields. The identification of peptide with haematopoietic activity to ensure the efficiency of functional foods remains challenging because of the vast combinatorial potential of short peptides from collagen hydrolysates. In the present study, we identified a novel marker peptide (the I-1 peptide, GAAGLpGPK, p: hydroxyproline) for type I collagen with haematopoietic capabilities via theoretical sequence analysis and computational prediction of activity. The I-1 peptide was shown to increase the survival rate of haematopoietic stem cells following injury induced by 5-fluorouracil (5-FU), increasing the survival rate from 65.40 to 105.28%, thereby exhibiting significant haematopoietic activity. More importantly, the mechanism underlying the haematopoietic activity of the I-1 peptide was analogous to activate the JAK/STAT signalling pathway mediated by granulocyte‒macrophage colony‒stimulating factor. On this basis, a high-precision method for the detection of type I collagen hydrolysates was developed using the I-1 peptide (relative standard deviation = 1.57%). This study not only provides novel perspectives for the exploration of haematopoietic peptides but also offers a new methodology for controlling the bioactivity of collagen-based food products.

Graphical Abstract
Innovative Drug Development Approach to Address the Transition to Low Global Warming Potential Propellant Using Hydrofluoroalkane-152a, for Triple Combination Pressurized Metered-Dose Inhaler Products Targeting Small Airways
Authors: Matturro A. , Zambelli E. , Cuoghi E. , Copelli D. , Usberti F. , Fioni A. , Labadini L.
Published: February 2025

Recent and emerging environmental policies have boosted the investigation of pressurized metered-dose inhalers (pMDI) that have a minimal impact on climate change. There is a current move away from existing hydrofluorocarbon (HFC)-based propellants, specifically the hydrofluoroalkane (HFA)-134a and HFA-227ea based pMDI products that are approved for the treatment of asthma and chronic obstructive pulmonary disease (COPD), towards those that use low global warming potential (LGWP) propellants. Changing the propellant to, for example, the less environmentally-damaging HFA-152a, is a focus for many manufacturers. In this paper, we report an innovative approach to developing new pMDI drug products with a LGWP propellant. Moreover, proof of the hypothesis that products containing the current propellant and those using a LGWP propellant can achieve equivalent performance is reported, by showing comparability of a triple combination pMDI (Trimbow®) formulated using the LGWP HFA-152a propellant compared with HFA-134a. This paper will present the use of in silico mathematical modelling, leveraging on Chiesi proprietary Modulite® principles to predict and validate in vitro performances of the drug product under development. Validation is carried out using realistic aerodynamic particle size distribution (rAPSD), a novel approach that offers a more accurate prediction of aerosol distribution by incorporating variations compared to the standard aerodynamic particle size distribution (APSD). Additional in vitro testing validates the prediction of in silico models and confirms good comparability in terms of aerodynamic performance between HFA-152a and HFA-134a, which translates in vivo as evidenced by the preliminary pharmacokinetics (PK) in animal models and the formal clinical PK bioequivalence (BE) studies. (Rony et al. in Pulm Pharmacol Ther 85, 2024).

Graphical Abstract
Strategic management of the effectiveness of tourism and recreational services in the region
Authors: Rubcova Natal'ya
Published: February 2025

The monograph reflects the results of the author's research devoted to the study of issues of strategic management of the effectiveness of the sphere of tourist and recreational services at the regional level. The paper presents the theoretical and methodological provisions of managing the regional effectiveness of the sphere of tourist and recreational services from the perspective of a system-network approach, including conceptual foundations, conceptual apparatus, normative and instrumental components. The publication forms a systematic understanding of the strategic management of the effectiveness of the tourism and recreation sector at the regional level, with special attention being paid to efficiency assessment in the monograph. The work is largely applied in nature. The presented developments have been empirically verified and tested using the example of the regions of Russia and the Baikal region (Irkutsk Region and the Republic of Buryatia).
It is intended for researchers and practitioners, teachers, postgraduates, undergraduates, students, as well as for anyone interested in strategic management of the effectiveness of tourism and recreational services at the regional level.
Exploración de la dimensión sonora y espacial. Una experiencia de escucha consciente en los espacios intermedios de la antigua Casa de Reposo y Salud El Campito de San José.
Authors: Vélez Agudelo Jaime Alejandro , Albornoz Rugeles Cristina , García Moncada Jorge Gregorio
Published: February 2025

Este artículo aborda el fenómeno de lo sonoro en espacios intermedios desde un ejercicio de
escucha consiente que evoca la memoria y la atmósfera de un lugar. Para contribuir a trabajos de
investigación y creación en los que se involucran lo sonoro y lo espacial, se hace necesario
identificar conceptos sobre la percepción sonora desde diferentes modos de escucha, vincularlos
a un espacio concreto y ofrecer una experiencia centrada en lo sonoro. Para lograrlo se
desarrollaron tres tipos de aproximación que involucran un marco de referencias, un análisis de
los elementos y tipos de espacios y la inmersión en la experiencia sonora. En el primer apartado
se expone el marco de referentes que aportan conceptos clave sobre el carácter sonoro y los modos
de escucha. En la segunda parte se justifican las condiciones que ofrecen los espacios intermedios
y los criterios de selección del caso de estudio: El Campito de San José en el campus de la
Universidad de los Andes en Bogotá, Colombia. En la tercera parte se describe el trabajo de
campo, los testimonios y los requerimientos técnicos utilizados en los registros sonoros necesarios en la composición de la pieza electroacústica. Los criterios conceptuales, los datos
obtenidos del lugar y la experiencia sonora de la pieza electroacústica que se concretan en este
documento, trascienden contenidos textuales y visuales y ofrecen una experiencia sonora que da
cuenta del efecto del sonido en la percepción y la memoria del espacio.
Network Intrusion Detection System with Time-Based Sequential Cluster Models using LSTM and GRU
Authors: Rishika Ravi Vendra , Pratomo Baskoro Adi , Hidayati Shintami Chusnul
Published: February 2025

Technological development and the growth of the internet today have a positive and revolutionary impact in various areas of human life, such as banking, health, science, and more. The presence of Open Data and Open API also facilitates the exchange of data and information between entities without the restrictions imposed by different regions and geographical areas. However, information openness not only has a positive impact but also makes data vulnerable to data theft, viruses, and various other types of cyber attacks. The large-scale data exchange that occurs across the network poses a challenge in detecting unusual activity and new cyber attacks. Therefore, the existence of an Intrusion Detection System (IDS) is urgently essential. The IDS helps system administrators detect cyber attacks and network anomalies, thus minimizing the risk of data leaks and intrusions. The research developed a new approach using time-based sequential clustered data sets in the Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) models. This IDS model was implemented using the CIC-IDS 2018 data set, which has more than 4 million data lines. The capabilities and uniqueness of the LSTM and GRU models are used to classify and determine various attacks in IDS based on sequential data sets ordered by time and clustered according to the destination ports and protocols, such as TCP and UDP. The model was evaluated using the accuracy, precision, recall, and F-1 scores matrix, and the results showed that the time-based sequential clustered models in LSTM and GRU have an accurities of up to 97.21%. This suggests that this new approach is good enough to be applied to the future IDS models.
Pelatihan Psychological First Aid (PFA) dan Stress Management untuk Mahasiswa Kedokteran Tahun Pertama FKK ITS 2024
Authors: Syulthoni Zain Budi , Haykal Muhammad Nazhif , Eljatin Dwinka Syafira , Haque Sayidah Aulia Ul , Rangkuti Rahmah Yasinta , Fadhlina Afia Nuzila , Indriastuti Endah , Radiansyah Riva Satya , Putri Atina Irani Wira , Sari Desiana Widityaning , Indriani Ratri Dwi , Siswanto Putri Alief , Mahdi Faizal
Published: February 2025

Mahasiswa kedokteran tahun pertama menghadapi banyak tantangan dalam menye-suaikan diri dengan lingkungan akademik baru, yang dapat memengaruhi kesehatan mental mereka. Tujuan dari penelitian ini adalah untuk meningkatkan kemampuan siswa dalam mengelola stres dan memberikan dukungan psikologis melalui pelatihan manajemen stres dan dukungan psikologis pertama / Psychological First Aid (PFA). 30 mahasiswa kedokteran semester 1 FKK ITS mengikuti pelatihan, yang berlangsung selama dua hari dan total 16 jam. Pelatihan juga dievaluasi melalui pretest dan posttest menggunakan kuesioner. Melalui simulasi kasus, peserta menunjukkan kemampuan yang baik dalam menggunakan strategi PFA dan manajemen stres. Hasil analisis menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta setelah mengikuti pelatihan (p=0.000). Pelatihan mencakup pemaparan teori dan praktik keterampilan PFA, seperti keterampilan mendengarkan yang aktif, keterampilan komunikasi, keterampilan empati, dan keterampilan bertahan hidup. Dua modul program ber-ISBN dan publikasi di media massa. Kesimpulan dari pengabdian masyarakat adalah bahwa terjadi peningkatan pemahaman dan kemampuan mahasiswa kedokteran tahun pertama terhadap Psychological First Aid dan Stress Management yang diharapkan lebih siap menghadapi tantangan akademik.
Pembuatan Katalog Desain Produk Lampu Estetik Sebagai Pemanfaatan Limbah Material Galvalum di PT Sumber Mas Gemilang
Authors: Krisbianto Ari Dwi , Zulaikha Ellya , Rezkita Katon Ageng , Putri Nurul Idzi Lutvi , Kurniawan Arie , Yulardi Audit , Purwanita Nadia Septarina
Published: February 2025

Material galvalum termasuk dalam kategori material paling laris di pasar Indonesia karena karakteristiknya yang kuat dan ringan. Pada kesempatan kali ini, PT Sumber Mas Gemilang yang merupakan industri produksi galvalum dengan Cold Roll Forming, bersedia menjadi sasaran pengabdian masyarakat dalam menghasilkan guideline atau panduan berupa katalog hasil eksplorasi material limbah galvalum menjadi produk lampu estetik. Material limbah galvalum ini dipilih karena produk sisa produksi yang selanjutnya menjadi limbah industri menjadi suatu masalah serius bagi PT Sumber Mas Gemilang. Walaupun menjadi limbah industri, kondisi limbah galvalum masih layak guna karena bersifat kuat, tahan lama, mudah dibentuk, serta masih memungkinkannya eksplorasi menjadi produk tiga dimensi yang memiliki nilai fungsi dan estetika. Produk lampu estetika dipilih karena merupakan produk yang memiliki demand value  tinggi pada masyarakat serta kesesuaiannya dengan karakteristik limbah galvalum dalam hal proses pembentukan dan produksi. Tujuan dibuatnya katalog yang merupakan panduan pembuatan produk dari material limbah industri galvalum bagi PT Sumber Mas Gemilang ini adalah agar ke depannya ITS bersama PT Sumber Mas Gemilang dapat terjun pada masyarakat serta melakukan pemberdayaan masyarakat berdasarkan hasil dari katalog panduan tersebut untuk ikut berperan pada lingkup sustainability dan ekonomi sirkular.
Integrasi Teknologi Internet of Things dalam Pengembangan Sistem Pemantauan Kualitas Air dan Kesehatan Udang Air Tawar untuk Optimalisasi Produk Perikanan
Authors: Ginardi Raden Venantius Hari , Husni Muchammad , Sholikah Rizka Wakhidatus , Indrawanti Annisaa Sri , Sabilla Irzal Ahmad , Oktarina Eka Sari , Rasmana Susijanto Tri , Hariyawan Mohammad Yanuar , Briantoro Hendi , Wicaksono M. Januar Eko , Mohammad Iki Adfi Nur , Syafa Ilhan Ahmad , Wicaksono Rahmad Aji , Luqmanulhakim Naufan Zaki , Kusuma Zulfa Hafizh , Santosa Hafis Akmaldi , Wijaya Agas Ananta
Published: February 2025

Pengelolaan kualitas air adalah salah satu komponen penting yang perlu diperhatikan dalam budidaya perikanan, terutama pada udang air tawar. Faktor kualitas air dapat mempengaruhi hasil produksi dan keberhasilan dari budidaya udang. Beberapa komponen dalam air yang perlu diperhatikan dalam budidaya udang antara lain suhu, oksigen terlarut, salinitas, dan PH dari air. Keempat komponen tersebut dapat memberikan gambaran terkait kondisi air dari budidaya udang apakah dalam kondisi baik atau dalam kondisi yang dapat mengganggu pertumbuhan udang. Pemantauan keempat komponen utama tersebut idealnya dilakukan setiap hari untuk dapat melakukan intervensi jika terjadi ketidak seimbangan kondisi air. Pada pengabdian masyarakat ini dibangun perangkat Internet of Things (IoT) untuk melakukan pemantauan kondisi air pada budidaya udang air tawar. Perangkat IoT memungkinkan dilakukan pemantauan kondisi air dari jauh dengan memanfaatkan aplikasi mobile. Hal tersebut dapat mempermudah petani udang untuk melakukan pemantauan tanpa harus datang langsung ke lokasi budidaya. Selain itu pelatihan pada mitra juga dilakukan untuk memberikan sosialisasi penggunaan alat dan implementasinya. Hasil luaran dari pengabdian masyarakat ini berupa prototype alat IoT untuk monitoring yang telah diimplementasikan pada pihak mitra, publikasi pada laman berita daring, HKI (Hak Kekayaan Intelektual) video abmas, dan jurnal pengabdian kepada masyarakat.
Peningkatan Kemampuan Penulisan Karya Ilmiah Guru SMP Sains Tebuireng Untuk Meningkatkan Kualitas Pembelajaran Berbasis Saintifik
Authors: Sakina Sakina , Prasetiowati Lucky , Rimbun Rimbun , Yuliawati Tri Hartini , Effendi Mohammad Khoirul
Published: February 2025

Proses berpikir kritis dan pembelajaran sains sangat penting diberikan sejak dini pada anak usia sekolah dasar dan menengah. Oleh karena nantinya siswa akan menjadi calon pemimpin masa depan, maka peningkatan kualitas guru perlu dipersiapkan dengan baik agar kualitas berpikir kritis dan pembelajaran sains siswa bisa setara dengan negara maju. Tujuan kegiatan pengabdian masyarakat ini adalah meningkatkan kemampuan guru SMP Sains Tebuireng Jombang dalam penulisan karya ilmiah. Pelatihan ini melibatkan tim dosen, tenaga kependidikan dan mahasiswa Fakultas Kedokteran Universitas Airlangga, mitra pelaksana dari Perhimpunan Ahli Anatomi Indonesia, serta dosen dari Institut Teknologi Sepuluh Nopember. Pelatihan ini dilakukan dalam 3 seri, dan hasil pelatihan ini kemudian diimplementasikan dalam lomba poster karya ilmiah. Pelatihan penulisan karya ilmiah yang telah dilakukan terlihat secara efektif mampu meningkatkan pengetahuan para guru dan siswa dalam penyusunan artikel ilmiah. Melihat potensi hasil pelatihan yang baik, maka kegiatan ini diharapkan dapat berlanjut pada sasaran yang lebih luas lagi di sekolah-sekolah lain di Indonesia.
Pelatihan Pembuatan Media Pembelajaran Interaktif Berbasis Video untuk Guru Pendidikan Anak Usia Dini
Authors: Nuralamsyah Bintang , Sarwosri Sarwosri , Rochimah Siti , Yuhana Umi Laili , Siahaan Daniel Oranova , Akbar Rizky Januar
Published: February 2025

Perkembangan teknologi yang pesat membuat setiap individu tak terkecuali tenaga pendidik untuk berkembang mengikutinya. Dalam perkembangan teknologi, tenaga pendidik diuji keterampilannya dalam membuat media pembelajaran yang mampu menarik perhatian dan berkulitas bagi para peserta didik. Disisi lain, pentingnya media pembelajaran sebagai media penyampaian ilmu menjadi salah satu fokus yang perlu mendapatkan perhatian khusus demi memfasilitasi perkembangan anak terutama pada masa emas perkembangan anak usia dini. Terbentuklah pelatihan guna meningkatkan ketrampilan tenaga pendidik dalam membuat media pembelajaran berbasis video yang interaktif dengan Laboratorium Rekayasa Perangkat Lunak sebagai panitia acara. Terdapat 19 peserta yang mengikuti pelatihan terkait dengan detail peserta merupakan Paguyuban Guru PAUD Gunung Anyar Tambak. Pelatihan berjalan secara luring di Laboratorium Pemrograman 2, Departemen Informatika ITS. Materi pelatihan meliputi dasar penyuntingan video, elemen-elemen dalam penyuntingan video, sampai membagikan video. Pengabdian masyarakat berbentuk pelatihan ini berhasil dilakukan dengan tingkat kepuasan 2,965 dari 3. Pelatihan ini merupakan bentuk kontribusi ITS terhadap peningkatan dan perkembangan pendidikan di Indonesia.
Pemberdayaan UMKM melalui Edukasi Legalitas PIRT: Strategi Efektif untuk Memperluas Pasar
Authors: Paramartha I Gusti Agung Yoga , Wardani Kadek Devi Kalfika Anggria
Published: February 2025

UMKM di Indonesia menghadapi tantangan besar dalam bersaing di pasar yang semakin kompetitif, terutama dengan perubahan pola konsumsi dan perkembangan teknologi dengan hanya 20% UMKM yang telah terhubung dengan platform digital. Persaingan global dan kehadiran perusahaan internasional dengan akses sumber daya yang lebih baik memaksa UMKM untuk terus berinovasi dan meningkatkan kualitas produk agar tetap relevan di pasar. Salah satu langkah yang dapat dilakukan adalah pemberdayaan pelaku usaha melalui pemanfaatan legalitas PIRT (Pangan Industri Rumah Tangga). Adapun tujuan dari kegiatan pengabdian ini adalah untuk memberi pemahaman kepada pelaku usaha mengenai pentingnya legalitas PIRT serta bagaimana menerapkannya dalam bisnis mereka. Kegiatan pengabdian dilakukan dengan model pendekatan Participatory Action Research (PAR) melalui 3 tahapan yaitu: 1) perencanaan, 2) pelaksanaan, dan 3) evaluasi. Pendekatan inovatif melalui sosialisasi daring terbukti efektif dalam meningkatkan pemahaman pelaku usaha, dengan persentase hasil evaluasi di semua aspek legalitas PRIT yang dievaluasi adalah berkisar dari 80-100%. Pelaku usaha mampu mengaplikasikan pengetahuan tersebut dengan mempersiapkan produk yang sesuai dengan standar PIRT.
The Health and Care Act 2022 and community nursing
Authors: Dowie Iwan
Published: February 2025

Iwan Dowie explores the provisions of the Health and Care Act 2022 and its impact on community nursing. The legislation aims to promote the involvement of service users in the decision-making process for their healthcare planning. While this has been on the government's agenda for decades, limitations such as staff shortages and increase caseloads have resulted in a lack of progress.
Temporary bilateral uterine artery occlusion in the control of hemorrhage: A case report and review of literature
Authors: Song Yu-Liang , Wang Chun-Feng
Published: February 2025

BACKGROUND

Intramural pregnancy is rare, with an unclear etiology and pathophysiology. Surgical, medical, and expectant management options are available for this condition. However, most reported cases are managed surgically. Despite the risks of massive intraoperative bleeding and acute and long-term complications, uterine artery embolization is often selected. Temporary occlusion of the bilateral uterine arteries during surgery is associated with fewer complications.

CASE SUMMARY

We reported the case of a patient who was diagnosed with intramural pregnancy approximately one month after medical abortion. We performed laparoscopic resection with hysteroscopy. Since the lesion had abundant blood flow, we temporarily blocked the bilateral uterine arteries to prevent massive intraoperative bleeding. The surgical process went smoothly. The postoperative course was uneventful.

CONCLUSION

Temporary occlusion of the bilateral uterine arteries in the treatment of intramural pregnancy may prevent excessive uterine bleeding during surgery.
Primary mucosa associated lymphoid tissue lymphoma of the gallbladder: A case report and review of literature
Authors: Lee Mi-Rin , Jang Kyu-Yun , Yang Jae-Do
Published: February 2025

BACKGROUND

The primary lymphomas of mucosa associated lymphoid tissue (MALT) of the gallbladder (GB) is an extremely rare of non-Hodgkin lymphoma. Many patients exhibit symptoms like gallstone disease, and in some cases, the lymphoma may be detected through imaging even without apparent symptoms. Only 19 cases of primary MALT lymphoma in the GB have been previously reported. Differential diagnosis from typical GB carcinoma based solely on imaging findings can be challenging, and definitive diagnosis often requires surgical intervention.

CASE SUMMARY

We present a patient in an 82-year-old man who was initially diagnosed with prostate cancer but incidentally detected GB wall thickening from magnetic resonance imaging conducted for prostatic surgery and subsequent radical cholecystectomy revealed primary MALT lymphoma of the GB. The patient was followed up by a medical oncologist, and after discussion, the decision was made to continue observation with close monitoring without systemic chemotherapy given the asymptomatic presentation

The patient has been free of recurrence for 16 months after the surgery. Although precise diagnosis before the surgery was difficult in this case, preoperative examinations revealed a submucosal tumor-like lesion.

CONCLUSION

MALT lymphoma of GB remains little known in many previous studies. It is really difficult to preoperatively diagnose. The combination of clinical presentation, postoperative histology and immunohistochemistry contribute to diagnosis and carry out appropriate management.
Based on The Multi-index Quantitative Evaluation Model of Health Status of Distributed Distribution Network
Authors: Zhang Yao , Zhou Zhongqiang , Lian Yin , Zhou Kun , Shi Qihong
Published: February 2025

With the rapid development of smart grids, accurate and timely assessment of the health status of distribution networks is crucial. This article proposes a multi-indicator quantitative evaluation model based on the health status of distributed distribution networks. The model incorporates diverse pivotal metrics about the distribution network, encompassing voltage stability, equipment senescence, and fault occurrence frequencies. Leveraging sophisticated data analytics techniques facilitates a quantitative appraisal of the network’s overall health status. To delve deeper into the efficacy of intelligent distribution network situational awareness, this study presents a comprehensive evaluation framework encompassing a robust index system and evaluation methodologies. The comprehensive evaluation index system includes five primary indicators, as well as a total of 17 secondary indicators, to objectively quantify the effectiveness of intelligent distribution network situational awareness. This paper uses a subjective and objective mixed evaluation method based on the binomial coefficient and multi-objective planning methods to weight the comprehensive evaluation index system. The comprehensive evaluation model for the implementation effect of intelligent distribution network situational awareness proposed in this article objectively and accurately reflects the operation status of the distribution network, eliminates the one-sidedness of a single evaluation method, effectively improves the observability of the intelligent distribution network, and realizes the analysis of weak links and potential risks in the distribution network.
Deterioration Trend Prediction Model of Hydropower Unit Based on Improved SVM-GRU
Authors: Liu Tengbin , Li Lihua , Gao Xiong , Zheng Xuan , Zhou Yuguo , Chen Dianlong , Wu Tingwei , An Xueli
Published: February 2025

Under the background of ’double carbon’ goal and ’building a new power system with new energy as the main body’ large-scale new energy access, due to the strong volatility of new energy, makes hydropower units frequently start and stop and carry out power regulation. However, frequent start-stop and power regulation will adversely affect the operating state and life of hydropower units. With the long-term operation of hydropower units, the problem of unit deterioration is becoming more and more serious. In order to accurately evaluate the health state of the unit and predict the deterioration trend of the unit, a prediction model of the deterioration trend of the hydropower unit based on improved support vector machine (SVM), variational mode decomposition (VMD) and gate recurrent neural network is proposed. The model is based on improved support vector machine algorithm and field test data to establish the unit health state model. Secondly, the trend sequence of unit deterioration degree is calculated according to the health state model. Thirdly, the deterioration degree trend sequence is input into the variational mode decomposition algorithm for decomposition, and the gate-cycle neural network is used to predict the trend of the decomposition modes. Finally, the forecast sequence of unit deterioration trend is obtained by integrating the result of trend prediction. The results of example analysis show that the method can fit the health state of the unit well and make reasonable and accurate prediction of deterioration trend.
Research on Optimization of Intelligent Data Driven Monitoring and Status Evaluation Mechanism for Distribution Network and Distributed Resources
Authors: Fan Junqiu , Zhou Zhongqiang , Ma Jianwei , Wen Yuan , Wan Huijiang , Meng Jingrong
Published: February 2025

With the rapid development of smart grid technology, in-depth research on intelligent data-driven monitoring and status evaluation mechanisms for distribution networks and distributed resources has become a key factor in improving the operational efficiency, safety, and reliability of power systems. This article aims to achieve precise management and optimized scheduling of distribution networks and distributed resources by establishing an efficient and intelligent monitoring and evaluation system. We have collected over 10TB of data from multiple smart distribution network pilot projects, including real-time operational data, equipment status information, user electricity usage behavior, and more. By adopting advanced data preprocessing techniques, including data cleaning, integration, and transformation, low-quality and incomplete data are effectively eliminated, ensuring the integrity and quality of the dataset. Subsequently, the processed data is deeply mined and analyzed using a distributed computing framework. The prediction model proposed in this article provides high-precision predictions of key indicators, such as load changes and power generation within the distribution network, with an average prediction accuracy of over 95%. By utilizing clustering analysis and association rule mining techniques, potential fault points within the distribution network were successfully identified, furnishing scientific decision-making support for operations and maintenance personnel. In the realm of distributed resource state assessment, a novel state assessment model grounded in multi-source data fusion has been introduced. This model comprehensively considers the operational characteristics of distributed energy, environmental factors, and grid constraints and can comprehensively and accurately evaluate the status of distributed resources. The experiment found that this system significantly improved the utilization of distributed resources and the overall operational efficiency of the power grid, with an average increase of over 10%.
Research on Optimization of Distribution Network Connection Mode Based on Graph Neural Network and Genetic Algorithm
Authors: Chen Guo , Hui Wang , Huan Yan , Bingchen Li , Xingxing Zhou
Published: February 2025

With the deep integration of electric power and information technology systems, the distribution system shows the trend of increasingly complex structures and increasing external risk factors. This leads to more diversified types of faults in the distribution network, so it is crucial to optimize its topology. In this paper, we first compare the main connection modes of high-voltage and medium-voltage distribution networks in China, and combine them with the specific needs of Shaanxi Power Grid to propose a differentiated flexible network model and its scope of application. Using Graph Neural Network and Genetic Algorithm, an innovative optimization method of distribution network connection is proposed to support the typical network structure of the new distribution network. Analysis of examples shows that the proposed algorithm can improve the original network’s network loss and voltage deviation by 32.8% and 37.3%, respectively, and the improvement effect is better than that of the traditional genetic algorithm. At the same time, considering the different stages of distribution network development and the uncertainties that may be faced, this paper also explores the flexible transition scheme of each typical network structure to ensure a smooth transition to a more efficient, green and intelligent distribution network model without affecting the reliability of the existing power supply.
Wood Technological Properties of the Tree of Heaven (Ailanthus altissima (Mill.) Swingle) and Studies on Possible Applications
Authors: Huber Christian , Teischinger Alfred , Stingl Robert , Pramreiter Maximilian , Stadlmann Alexander , Brandner Reinhard , Müller Ulrich
Published: February 2025

The tree of heaven (Ailanthus altissima (Mill.) Swingle) is a neophyte that is classified as highly invasive. This study shows that in contrast to the challenges the forestry industry faces with this species, the wood of the tree of heaven has considerable promising technological and pulp and paper properties. The attractive wood is hardly distinguishable from European ash (Fraxinus excelsior L.) both visually and in its mechanical properties. Consequently, the wood of the tree of heaven also has a high potential for load-bearing and solid-wood applications. A final technological evaluation of the wood is challenging because the tree of heaven is currently being massively combated, which negatively affects the quality of the roundwood material. Therefore, noncontrolled free-standing trees were examined in this study.
Zambrano-Juarroz, la errancia secreta de la soledad
Authors: Trinidad Hernández Alberto
Published: February 2025

El presente artículo construye un diálogo entre María Zambrano y el poeta argentino Roberto Juarroz en torno a algunos conceptos clave de sus propuestas literarias: la soledad que el escritor funda como hogar en la encrucijada de una tensión órfica con el lenguaje; el secreto que se desvela a raíz de esa tensión y que siente la necesidad de comunicar, en lo que propondré como un sacrificio del yo en favor de una «multiplicidad de nadie»; y la melancolía como modo de habitar el exilio al que aboca esta comunicación convertida en desanclaje. Dicho diálogo se edificará en un marco teórico posestructuralista que cimentaré con la voz, principalmente, de los autores Maurice Blanchot y Gilles Deleuze.
poesía de una filósofa. Análisis estilístico de algunos artículos de la revista «Semana», de Puerto Rico
Authors: Moga Eduardo
Published: February 2025

El exilio condujo a María Zambrano a diversos países de Europa e Hispanoamérica. En Puerto Rico pasó largas temporadas entre 1940 y 1945, y a principios de los años sesenta escribió cuarenta y cinco artículos para la revista Semana, en varios de los cuales expresó su interés por los asuntos, los personajes y la historia de Hispanoamérica, y demostró que su estilo estaba radicalmente permeado de espíritu poético, que se manifestaba gracias al uso de técnicas expresivas directamente importadas de la poesía. El análisis estilístico de estas técnicas es el objeto principal de este artículo.
Evaluation of Li-TMS as an intervention to enhance cognitive performance in university students
Authors: Sampieri Cabrera Raúl , Oviedo Alan , Pérez Erandi
Published: February 2025

Background:The present study evaluated the impact of low-intensity transcranial magnetic stimulation (Li-TMS) on the cognitive performance of university students. Given the increasing interest in non-invasive brain stimulation techniques to enhance cognitive functions, this study aims to explore the efficacy of Li-TMS using the Digit Symbol Substitution Test (DSST) as a measure of cognitive performance. Methods: The sample included 30 participants, who were randomly divided into two groups: an experimental group and a control group. The experimental group received daily Li-TMS sessions for 10 days. In contrast, the control group received sham low-intensity sessions under the same temporal protocol to control for placebo effects. The DSST was administered to all participants before and after the intervention to assess changes in cognitive performance. Results: The results demonstrated a significant improvement in DSST scores in the experimental group compared to the control group. This finding suggests that Li-TMS can effectively enhance specific cognitive skills in a young and healthy population. Conclusion: Li-TMS appears to be a promising tool for cognitive enhancement, with potential applications in educational and professional settings. These findings support the utility of Li-TMS as a cognitive training intervention, offering a non-invasive method to improve cognitive functions in young adults. Further research is warranted to explore the long-term effects and underlying mechanisms of Li-TMS on cognitive performance.
Educar l'inconscient infantil: una proposta per l'Escola Primària
Authors: Valls Morató Joaquim
Published: February 2025

Educar l’inconscient infantil és possible i recomanable per tal de millorar el caràcter i la intel·ligència vital dels nens d’entre 6 i 12 anys. Es proposa una metodologia que empra tres eines, que no suposen en cap cas un increment del pressupost econòmic de les escoles, ni tampoc una inversió extra de temps per part dels mestres, atès que d’habitud ja s’empren a l’ensenyament primari: l’aprenentatge de la cal·ligrafia, els contes infantils i les cançons ad hoc. Es pretén adaptar per a l’Escola Primària la Programació Neuro-Cal·ligràfica (PNC), per a la reeducació de l’inconscient cognitiu i emocional de persones adultes, amb resultats estadísticament significatius en el Test VIA de les 24 Fortaleses de Caràcter, que dos dels representants més emblemàtics de la psicologia positiva, Martin Seligman i  Cris Petersen, van crear l’any 2004 (1). L’enfocament es basa en el supòsit que el cervell i la intel·ligència dirigeixen el capteniment per resoldre problemes que afecten la supervivència i el benestar. En aquest article s’adopta la noció de personalitat a tres nivells (2): temperament (heretat genèticament), caràcter (après mitjançant l'experiència i l’educació) i personalitat escollida (entrenada per viure intel·ligentment). A banda de centrar-se en l'educació del caràcter conscient, que només representa el 5% de la nostra capacitat de pensament, el mètode «3C» pretén, de més a més i, sobre  tot, educar l'inconscient neurològic dels nens, mitjançant l'automatització d'hàbits positius. Els ganglis basals, que faciliten la motricitat fina i la integració de pensaments i emocions, són crucials en aquest procés. També es tenen en compte l'hipocamp i el tàlem per tal de, respectivament, reescriure els guions de la biografia en aquells aspectes que impliquen creences limitadores, i redirigir l’atenció executiva en aquells casos que estigui esbiaixada envers una visió negativa disfuncional.
CLEVER, Esquema Neurodidáctico para Fortalecer Los Procesos Cognitivos de la Competencia Lectora
Authors: Alvarez Franco Leonor
Published: February 2025

La priorización de la competencia lectora en los espacios escolares como herramienta de aprendizaje desde distintos ámbitos disciplinares es una de las premisas de estudio de los entes educativos en Colombia y ha sido un eje focalizado desde la indagación pedagógica a favor de los discentes. En retrospectiva académica, los recientes estudios determinan el desempeño lector como una necesidad, un recurso para el desarrollo de destrezas comunicativas. La presente investigación tiene como finalidad diseñar un esquema neurodidáctico (CLEVER) para fortalecer los procedimientos lectores desde tres ámbitos de incidencia: Activación, Entrenamiento y Experimentación en los niños de quinto grado de primaria de la Institución Educativa Distrital Madres Católicas. De acuerdo con este postulado, se abordará el paradigma sociocrítico desde un enfoque cualitativo en la modalidad investigación acción educativa con el análisis de las categorías, observación participante, entrevistas, diseño de ejercicios neurodidácticos y pruebas de carácter exploratorio. Los resultados obtenidos corroboraron el requerimiento de metodologías de estimulación emocional, de control cognitivo en la literacidad y la aplicación de talleres neurodidácticos de comprensión textual implementados en el esquema CLEVER. La habilidad lectora conlleva la activación de sustratos neuronales cuyo funcionamiento se consolida a través de las emociones, la cognición y de las vivencias, reforzado mediante estrategias neurodidácticas en los espacios de interacción y formación.
Las comisiones nacionales de bioética y el debate sobre la maternidad subrogada
Authors: Molina-Ricaurte Carlos Jesús
Published: February 2025

El presente artículo examina la actividad de las comisiones nacionales de bioética (CNB) en el debate sobre la maternidad subrogada, un tema crucial tanto para posibles cambios legislativos como para la función consultiva de estas comisiones. A través de una revisión de literatura y análisis de informes, dictámenes y recomendaciones emitidas por CNB de España, EE.UU., Francia e Italia, se pretende desentrañar cómo influyen las CNB en la formulación de políticas públicas y en el debate ético sobre esta práctica. Se concluye que, aunque las CNB no tienen poder legislativo, su rol consultivo y sus informes pueden tener un impacto significativo en la legislación y la opinión pública.