bluuebunny/crossref_metadata_2025 huggingface dataset:
Forest fuel extraction does not affect macrolichens on deadwood substrates, but only if coarse woody debris is not collected
Authors: Purhonen Jenna , Nirhamo Aleksi , Jäntti Mari , Halme Panu
Published: December 2023

The increasing use of forest fuels poses risks to biodiversity. Lichens that grow on deadwood may be vulnerable as fuel extraction removes their substrates. We surveyed deadwood and macrolichens on deadwood in two types of clearcut sites: sites in which forest fuels, stumps and slash, had been extracted, and standard clearcut sites, i.e. control sites with no fuel extraction. Extraction sites had 52% lower deadwood volume and 36% less deadwood surface area. However, the negative impact of fuel extraction on macrolichen species richness was low: 21.4 and 16.9 species on average in control and extraction sites, respectively. We found a clear positive relationship between macrolichen species richness and the surface area of logs, which are usually not targeted by forest fuel extraction. Species composition varied more among extraction sites than control sites and differed between all the studied deadwood types. Species of Cladonia were associated with stumps, while species in the family Parmeliceae were associated with logs. Slash was of negligible importance to macrolichens. Stumps may hold value, particularly if large-sized deadwood is otherwise not available. Thus, we conclude that the extraction of slash poses no threat to macrolichen diversity, whereas extensive extraction of stumps can cause losses in lichen diversity. The removal of large logs and snags during forest fuel extraction has significant negative effects on lichen diversity and should be avoided.
Integrating a Fast and Reliable Robotic Hooking System for Enhanced Stamping Press Processes in Smart Manufacturing
Authors: Chen Yan-Chun , Chen Shih-Yeh , Lai Chin-Feng
Published: December 2023

Facing the diversity of the market, the industry has to move towards Industry 4.0, and smart manufacturing based on cyber-physical systems is the only way to move towards Industry 4.0. However, there are two key concepts in Industry 4.0: cyber-physical systems (CPS) and digital twins (DT). In the paper, we propose a smart manufacturing system suitable for Stamping Press Processes based on the CPS concept and use DT to establish a manufacturing-end robot guidance generation model. In the smart manufacturing system of Stamping Press Processes, fog nodes are used to connect three major architectures including device health diagnosis, manufacturing device and material traceability. In addition, a special hook end point is designed, and its lightweight visual guidance generation model is established to improve the production efficiency of the manufacturing end in product manufacturing.
Novel Machine Learning-Based Time Series forecasting Model By combining short-term and long-term time patterns
Authors: Gang Li
Published: December 2023

Time series forecasting is widely applied in various domains. One of the disadvantages of long-term series is not using the characteristics of the frequency domain. These features generally exist in short-term patterns of time series and indicate rapid fluctuations in a short period of time. In this article, a new model of long-term forecasting of multi-dimensional time series is proposed, in which by using local and global neural network design, in addition to extracting long-term patterns, using Fourier transform and frequency domain characteristics of short-term patterns as well has been extracted. The proposed model obtains time and frequency range by combining long-term patterns with short-term time patterns and seasonal forecasting. The output of the forecasts is used to predict the trend and by combining it with the time domain and frequency, the final output of the time series is obtained. The simulation results show that the proposed model has better prediction accuracy than conventional models.
Reach of Congregate vs. Grab-and-Go Summer Meals in New York City: A Natural Experiment with Policy Implications and Recommendations
Authors: Harb Amanda A , Koch Pamela A , Roberts Katherine J , McGuirt Jared T , Cadenhead Jennifer W , Wolf Randi L
Published: December 2023

Participation in school meals is associated with many benefits. However, participation in the Summer Food Service Program (SFSP) is low due to many barriers, including program requirements such as congregate feeding. During COVID-19, these requirements were waived, allowing grab-and-go meals. The purpose of this study is to compare the number of SFSP meals served during the two summers of grab-and-go meals (summers 2020 and 2021) to six prior summers of congregate feeding (summers 2014-2019) in New York City (NYC). This study is an ecological study of NYC public school geographic districts (n = 32). The primary outcome is the total number of SFSP meals served per student. Using the repeated-measures ANOVA, the results show a significant increase in the number of SFSP meals served per student during the first summer (2020) of grab-and-go meals compared to summers 2016-2019 (p ≤ 0.01) but no significant differences during the second summer (2021) of grab-and-go meals compared to summers 2014-2019. However, there was a significant increase in the number of breakfast meals served in August per student during both the first and second summer of grab-and-go meals compared to summers 2014-2019 (p < 0.05). Among NYC public schools, the waivers may increase the reach of breakfast meals served in August, when there are fewer summer school activities. However, there is a need for an experimental study to establish potential causal relationships. Policymakers may consider making waivers that allow grab-and-go meals permanent flexibilities for the SFSP to increase access to summer meals.
Horizontal Planting Orientation Can Improve Yield in Organically Grown Sweetpotato
Authors: Woodard Alyssa J. , Schultheis Jonathan R. , Jennings Katherine M. , Woodley Alex L. , Suchoff David H.
Published: December 2023

Sweetpotato [Ipomoea batatas (L.) Lam.] is one of North Carolina’s (USA) most important organic commodity crops; however, yields tend to be less when compared with conventionally produced sweetpotato. Standard field establishment uses unrooted stem cuttings that are transplanted vertically in the soil. Producers in other countries typically use other planting orientations, including cuttings transplanted horizontally. Empirical evidence from North Carolina, USA, sweetpotato producers suggests that a horizontal orientation may improve yields. An organically managed field study using ‘Monaco’ sweetpotato was conducted in 2020 and 2021 in Bailey, NC, USA. The study evaluated stem cutting planting orientations (vertical, sleeve, horizontal), stem cutting length (25 cm and 38 cm), and harvest time (early or late) in a full-factorial randomized complete block design. In 2020, marketable yields were 16% greater for the horizontal orientation compared with the vertical orientation, with intermediate yields using the sleeve attachment. However, in 2021, there were no differences in marketable yield among planting orientations. In both years, US No. 1–grade yields were significantly greater when cuttings were planted horizontally compared with vertically, with an average increase of 18%. Delaying harvest until ∼126 days is recommended to increase yields for ‘Monaco’, regardless of planting orientation. This study provides evidence that a horizontal planting orientation could increase premium root yields and improve land-use efficiency for organically produced sweetpotatoes.
Identifying Chern numbers of superconductors from local measurements
Authors: Baireuther Paul , Płodzień Marcin , Ojanen Teemu , Tworzydło Jakub , Hyart Timo
Published: December 2023

Fascination in topological materials originates from their remarkable response properties and exotic quasiparticles which can be utilized in quantum technologies. In particular, large-scale efforts are currently focused on realizing topological superconductors and their Majorana excitations. However, determining the topological nature of superconductors with current experimental probes is an outstanding challenge. This shortcoming has become increasingly pressing due to rapidly developing designer platforms which are theorized to display very rich topology and are better accessed by local probes rather than transport experiments. We introduce a robust machine learning protocol for classifying the topological states of two-dimensional (2D) chiral superconductors and insulators from local density of states (LDOS) data. Since the LDOS can be measured with standard experimental techniques, our protocol contributes to overcoming the almost three decades standing problem of identifying the topological phase of 2D superconductors with broken time-reversal symmetry.
The role of corporate social responsibility as a moderating factor in influencing bank performance in Indonesia
Authors: Sudiyatno Bambang , Daniel Bagana Batara , Hardiyanti Widhian , Puspitasari Elen , Dwi Safitri Siska
Published: December 2023

An important factor in increasing public trust in banks is to show bank performance, so it is necessary to know the factors that influence bank performance. Therefore, it is important to attract the attention of bank management. This study aims to determine the factors influencing bank performance by using social responsibility as a moderating variable. This study involved 20 banks in Indonesia and used a quantitative approach. Secondary data sources were used for data collection and analyzed using a regression equation model. The results show that non-performing loans and bank size have no effect on bank performance. Meanwhile, loan-to-deposit ratio and corporate social responsibility have a positive effect at the 1% significance level. The results of testing the moderation effect obtained t-statistic values of –0.365 and –4.269. These results show that social responsibility has a negative effect, does not moderate the relationship between non-performing loans and bank performance, but has a negative effect, moderating the relationship between the loan-to-deposit ratio and bank performance. These findings have policy implications for bank performance through the implementation of corporate social responsibility policies.
AcknowledgmentsThe authors would like to thank the DPPMP of Stikubank University for supporting the funding of this research. Thanks also to the NGEJUS - FEB Unisbank team who helped provide the facilities needed for this study.
Non-economic determinants of social and labor development – 21st
Authors: Kolot Anatolii , Herasymenko Oksana
Published: December 2023

The article contains scientific argumentation of social and labor development of the first half of the 21ST century, which is increasingly acquiring features of instability and human(non)centricity. The quintessence of the presented theoretical and applied discourse is the substantiation of the need to overcome economic centrism, increase the role and importance of uneconomic factors of sustainable social progress in ensuring balanced social and labor development in the new socio-economic reality; The authors' construct of moral, ethical, spiritual, cultural dimension of competitive advantages in the context of dialectical unity of the economic and non-economic. The article is aimed at promoting a fundamental rethinking of the philosophy of sustainable social and labor development, which is centered on the priority of attitudes, values, beliefs of a moral, spiritual, ethical, solidarity, socially responsible, socio-cultural nature, which are conventionally called uneconomic and should become the leading pillars of the new digital world of economy and the world of the people themselves. The methodological research platform is an organic combination of systemic and interdisciplinary approaches using general scientific and special research methods. The worldview failures in understanding the non-economic aspects of human life in digital age are highlighted; the emphasis is placed on the distorted view of the role, place, and mission of the non-economic in ensuring sustainable development. The necessity of using a new conceptology, a new development strategy based on the principles of human-centrism is substantiated; the potential of solidarity and consolidation in network forms of interaction between subjects of social relations is proven. The range of phenomena and processes that act as "clots" on the way to sustainable social and labor development based on trust, inclusion, cohesion, solidarity, consolidation, responsibility, culture in its broadest sense is outlined, and, on the contrary, the factors that increase the role of the non-economic in ensuring sustainable social and labor development and overcoming the deepest crisis of our time are identified. The authors argue that the "new science", the new economic theory of social progress, facilitated by published foundations, must offer a different philosophy, different principles, and drivers of sustainable social and labor development, which are almost the exact opposite of the dominant postulates of growth, which is often not accompanied by development.
Rethinking Horse Domestication in North America: New Insights through
Authors: JANECZEK MACIEJ , PASICKA EDYTA , TOMAŃSKA ANNA
Published: December 2023

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Seyf b. Muhammed Yakûb el-Herevî’nin Târîhnâme-i Herât Adlı Eserin Muhtevasına Dair Bir Değerlendirme
Authors: SÖYLEMEZ Yusuf Ziya
Published: December 2023

Bulunduğu konum itibariyle Güneybatı Asya’da önemli bir noktada yer alan Afganistan siyasi, ekonomik, askeri ve göç yolları üzerinde yer alması ile tarihin her döneminde dikkatleri üzerine çeken bir coğrafya olmuş ve pek çok hâkimiyet tarafından kontrol altına alınmıştır. Afganistan coğrafyasının doğu-batı ve kuzey-güney ekseninde bağlantısını sağlayarak, insanlık tarihi kadar kadim bir geçmişe sahip olan Herîrûd Vadisi üzerinde kurulan Herât şehri ise bu coğrafyanın kaderinin şekillendiği bir nokta olmuştur. Pek çok hâkimiyetin kurularak kendi medeniyetlerinden izler bıraktığı Herât şehrine dair pek çok müellif buraya dair eserler meydana getirirken bu şehrin tarihine ışık tutan ana kaynaklardan biri de Seyf b. Muhammed b. Yakup el-Herevî tarafından kaleme alınan Târîhnâme-i Herât’tır. Toplamda sekiz yüz yirmi sekiz sayfadan oluşan bu eser Gulam Rıza Tebatebayi Mecid tarafından tashih edilmiş, İntişârât-i Esâtîr tarafından da h.1383 tarihinde birinci, h.1385’te de ikinci baskısı yapılmıştır. Farsça kaleme alınan ve Herât tarihinin en eski kaynaklarından olan Târîhnâme-i Herât bu şehrin tarihinin bilinmeyen yönleri ile birlikte bölgede vuku bulan siyasi, sosyal ve kültürel hususlarına da ışık tutmaktadır. Eserin muhtevasına dair değerlendirmenin yapıldığında bu çalışma bir nevi kitabın da tanıtımı hükmündedir. Bu bağlamda yüz otuz sekiz zikr şeklinde belirtilen bölümlerdeki konu başlıkları ve olay silsileleri Farsçadan tercüme edilerek ayrı ayrı izah edilmiştir.
Kırgızistanlı Şair ve Yazar Usmon Temur
Authors: AYDOĞMUŞ Erdal
Published: December 2023

Kırgızistan’da Kırgız Türklerinin dışında Kazak, Özbek, Uygur, Tatar gibi Türk boylarının yaşadığı bilinmektedir. Bu Türk boylarından başka Kırgızistan’ın güneyinde yer alan Oş ve Celalabat şehirlerine bağlı bazı ilçe ve köylerde resmî kimliklerinde de Türk yazmakta olan bir topluluk bulunmaktadır. Şair ve yazar Usman Temur da 1940 yılında Kırgızistan’ın Oş şehrine bağlı Aravan ilçesi, Çekabat köyünde dünyaya gelmiş, 2018 yılında da aynı köyde hayata gözlerini yummuş olan Türk kimliğiyle bilinen bir şair ve yazardır. Usmon Temur’un çocukluğu doğduğu topraklarda, yükseköğrenim ve çalışma hayatı Taşkent ve Oş’ta geçmiştir. Genelde şiirler yazmış olan Usmon Temur şiir dışında roman, hikâye, destan, drama, kıssa gibi nesir türünden de eserler vermiştir. Usmon Temur’un şiirlerini Kırgız Türkçesi, Özbek Türkçesi ve Rusça olarak yazdığı görülmektedir. Bu çalışmada Türkiye’de çok bilinmeyen Usmon Temur’un hayatı ve eserleri ile ilgili bilgiler ve şiirlerinden örnekler verilecektir.
Anahtar Kelimeler:
Tarama Sözlüğü’ndeki Renk İfade Eden Sözcüklerin Kuruluşu Üzerine
Authors: KIRBAŞ Gülsüm
Published: December 2023

Farsça reng sözcüğünden türeyen renk sözcüğü bir şeyin niteliğini ve çeşitliliğini ifade eder. Renk adları sadece renkleri ifade etmemekte, bu sözcüklerle bitki adları, hayvan adları, yer adları, şahıs adları, hastalık adları vb. de kurulmaktadır. Bazen aynı renk adı hem bir rengi hem de başka bir kavramı karşılayabilmektedir. XIII.-XIX. yüzyıllar arasında Türkiye Türkçesi ile yazılmış eserlerdeki Türkçe sözcüklerin yer aldığı Tarama Sözlüğü üzerine pek çok çalışma yapılmıştır. Bu çalışmada Tarama Sözlüğü’ndeki renk adları ve renk anlamına gelen sözcükler ele alınmıştır. Sözcükler morfolojik ve semantik açıdan incelenmiştir. Morfolojik açıdan incelendiği kısımda sözcükler aldığı eklere göre sınıflandırmalara tabi tutulmuş, her sözcüğe Tarama Sözlüğü’nde yer alan cümlelerden örnekler verilmiştir. Sözcüklerin kuruluşuyla ilgili Türkçe gramer kitaplarından istifade edilmiş, ekler hakkında araştırmacıların verdikleri bilgiler aktarılmıştır.
Karaman Halk Oyunları ve Yöresel Kıyafetlerinin Süslemeleri Üzerine Bir İnceleme
Authors: Ünver Cihan , Konuk Mustafa
Published: December 2023

Kültürel mirasımızın bir parçası olan geleneksel halk oyunlarımız ve geleneksel giysilerimizden örnekler sunulan bu çalışmada, konu ile ilgili bilgi ve veriler toplanıp, kendi içinde sınıflandırılarak incelenmiştir. Araştırma kapsamına alınan halk oyunları ve giyim kuşamların bölgesel özellikleri çerçevesinde yeniden değerlendirilmeleri kapsamında ele alınmıştır. Bu ulaşılan örnekler Karaman’a ait kültürel değerleri anlama, koruma altına alma, yerlerinin tespit edilmesi, yaşatılması ve gelecek nesillere aktarılması açısından önemlidir.
Geleneksel yaşamların yaşatılarak gelecek nesillere aktarılmasında toplumun yapısı, düşünce tarzı, inanışlar ve beklentiler değerlendirilmeli ve yüzyıllardan bu topraklarda yaşayan bu geleneksel yaşam sürdürülmeye devam ettirilmelidir. Çünkü düğünlerde, festivallerde ve bayramlarda en önemli unsurlardan biri olan giyim-kuşam, oyunlar ve müzikler özellikleri ile aynı coğrafyada yaşayan topluluklar arasında hem farklılıkları hem de benzerlikleri içermektedir. Karaman’ın geleneksel yapısına daha fazla sahip çıkarak bu kültürün ve yaşam biçiminin gelecek kuşaklara aktarılabilmesi adına daha ayrıntılı çalışmaların yapılması gelecek kuşaklara bir borçtur.
Thyroid Function Screening among First- and Second-Degree Healthy
Asymptomatic Relatives of Patients with Hashimoto’s Thyroiditis
Authors: Abed Odhaib Samih , Jassim Mohammed Miaad , Thamer Altemimi Mahmood , Ali Mansour Abbas
Published: December 2023

Objective::

Assessment of thyroid dysfunction among relatives of patients diagnosed with Hashimoto’s thyroiditis is controversial due to the lack of evidence.
Screening and prediction of thyroid dysfunction among first- and second-degree relatives (FDRs and SDRs) of patients were diagnosed with
Hashimoto’s thyroiditis.

Materials and Methods::

Three hundred and forty-six asymptomatic relatives of 97 patients diagnosed with Hashimoto’s thyroiditis were enrolled in mixed cross-sectional
and prospective assessments for thyroid dysfunction over more than two years (September 2018-December 2020).
Both FDR and SDR were evaluated by thyrotropin (TSH) and thyroid ultrasound at enrollment. Individuals with abnormal TSH were thoroughly
evaluated biochemically and were subsequently classified as euthyroid, subclinical, and overt thyroid dysfunctional. The future reversion of
enrolled individuals with normal and subclinical thyroid function to overt dysfunction was predicted by using the Thyroid Event Amsterdam
(THEA) score.

Results::

Three-quarters of the participants were non-smoking married women. Thyroid dysfunction was diagnosed among 43% of the participants (n=150),
of whom two-thirds (74%) were having overt dysfunction (n=111). Neither the demographic elements nor the initial thyroid function could predict
the future thyroid function among those participants. Two out of ten (16%) were having autoimmune thyroid disease (AITD) as part of familial
clustering (n=56). Four participants with subclinical hypothyroidism were treated accordingly due to their high THEA score despite the global
lower THEA score (5.00±0.44).

Conclusion::

Screening of asymptomatic relatives of patients diagnosed with Hashimoto's thyroiditis could help identify the familial background of thyroid
diseases in 43% of FDRs and SDRs. One-third may have an underlying autoimmune basis.
Biosensor Detection of COVID-19 in Lung Cancer: Hedgehog and Mucin
Signaling Insights
Authors: Marwah Harneet , Pant Janmejay , Yadav Jiten , Shah Kamal , Dewangan Hitesh Kumar
Published: December 2023

Coronavirus disease 2019 is a global pandemic, particularly affecting individuals with pre-existing
lung conditions and potentially leading to pulmonary fibrosis. Age and healthcare system limitations further
amplify susceptibility to both diseases, especially in low- and middle-income countries. The intricate relationship
between Coronavirus disease 2019 and lung cancer highlights their clinical implications and the potential
for early detection through biosensor techniques involving hedgehog and mucin signaling. This study highlights
the connection between Coronavirus disease 2019 and lung cancer, focusing on the mucosa, angiotensin-
altering enzyme 2 receptors, and their impact on the immune system. It details the inflammatory mechanisms
triggered by Coronavirus disease 2019, which can result in pulmonary fibrosis and influence the cancer
microenvironment. Various cytokines like Interleukins-6 and Tumor Necrosis Factor-alpha are examined for
their roles in both diseases. Moreover, the review delves into the Hedgehog signaling pathways and their significance
in lung cancer, particularly their influence on embryonic cell proliferation and tissue integrity. Mucin
signaling is another vital aspect, highlighting the diverse mucin expression patterns in respiratory epithelial tissues
and their potential as biomarkers. The review concludes with insights into diagnostic imaging techniques
like chest computed tomography, Positron Emission Tomography and Computed Tomography, and Magnetic
Resonance Imaging for early lung cancer detection, emphasizing the crucial role of biosensors in identifying
specific biomarkers for early disease detection. This review provides a comprehensive overview of the clinical
impact of Coronavirus disease 2019 on lung cancer patients and the potential for biosensors utilizing hedgehog
and mucin signaling for early detection. It underscores the ongoing need for research and innovation to address
these critical healthcare challenges.
Nano Strategies for Artemisinin Derivatives to Enhance Reverse Efficiency of
Multidrug Resistance in Breast Cancer
Authors: Zhang Xueyan , Li Na , Zhang Guoqin , Li Jiayang , Liu Yi , Wang Meng , Ren Xiaoliang
Published: December 2023

Artemisinin (ART) has been found to exert anti-tumor activity by regulating the cell cycle, inducing
apoptosis, inhibiting angiogenesis and tumor invasion and metastasis. Its derivatives (ARTs) can regulate the
expression of drug-resistant proteins and reverse the multidrug resistance (MDR) of tumor cells by inhibiting
intracellular drug efflux, inducing apoptosis and autophagy of tumor cells, thus enhancing the sensitivity of tumor
cells to chemotherapy and radiotherapy. Recent studies have shown that nanodrugs play an important role
in the diagnosis and treatment of cancer, which can effectively solve the shortcomings of poor hydrophilicity
and low bioavailability of ARTs in the human body, prolong the in vivo circulation time, improve the targeting
of drugs (including tumor tissues or specific organelles), and control the release of drugs in target tissues, thereby
reducing the side effect. This review systematically summarized the latest research progress of nano-strategies
of ARTs to enhance the efficiency of MDR reversal in breast cancer (BC) from the following two aspects:
(1) Chemicals encapsulated in nanomaterials based on innovative anti-proliferation mechanism: non-ABC transporter
receptor candidate related to ferroptosis (dihydroartemisinin/DHA analogs). (2) Combination therapy
strategy of nanomedicine (drug-drug combination therapy, drug-gene combination, and chemical-physical therapy).
Self-assembled nano-delivery systems enhance therapeutic efficacy through increased drug loading,
rapid reactive release, optimized delivery sequence, and realization of cascade-increasing effects. New nanotechnology
methods must be designed for specific delivery routines to achieve targeting administration and
overcome MDR without affecting normal cells. The significance of this review is to expect that ART and
ARTs can be widely used in clinical practice. In the future, nanotechnology can help people to treat multidrug
resistance of breast cancer more accurately and efficiently.
Proteomic Analysis Based on TMT Regarding the Therapeutic Action of
Rhizoma Drynariae on Rats in an Osteoporosis Model
Authors: Su Hui , Yan Binghan , Wang Ruochong , Li Zhichao , Xu Zhanwang , Xue Haipeng , Tan Guoqing
Published: December 2023

Background::

Primary osteoporosis has increasingly become one of the risk factors
affecting human health, and the clinical effect and action mechanism of traditional Chinese medicine
in the treatment of primary osteoporosis have been widely studied. Previous studies have
confirmed that in traditional Chinese medicine (TCM), Drynaria rhizome has a role in improving
bone density. In this study, a tandem mass tag (TMT)-based proteomic analysis was conducted to
derive potential targets for Drynaria rhizome treatment in postmenopausal osteoporosis.

Methods::

The model group (OVX) and experimental group (OVXDF) for menopausal osteoporosis
were established using the universally acknowledged ovariectomy method, and the OVXDF
group was given 0.48g/kg Rhizoma Drynariae solution by gavage for 12 weeks. After 12 weeks,
femurs of rats selected for this study were examined with a bone mineral density (BMD) test,
Micro-CT, ELISABiochemical testing, hematoxylin and eosin (HE) staining, and immunohistochemistry.
A certain portion of the bone tissue was studied with a TMT-based proteomic analysis
and functional and pathway enrichment analysis. Finally, key target genes were selected for
Western blotting for validation.

Results::

The comparison of the OVXDF and OVX groups indicated that Drynaria rhizome could
improve bone density. In the TMT-based proteomic analysis, the comparison of these two groups
revealed a total of 126 differentially expressed proteins (DEPs), of which 62 were upregulated
and 64 were downregulated. Further, by comparing the differential genes between the OVXDF
and OVX groups and between the OVX and SHAM groups, we concluded that the 27 differential
genes were significantly changed in the rats selected for the osteoporosis model after Drynaria
rhizome intragastric administration. The gene ontology (GO) enrichment analysis of DEPs
showed that molecular function was mainly involved in biological processes, such as glucose
metabolism, carbohydrate metabolism, immune responses, and aging. A Kyoto Encyclopedia of
Genes and Genomes (KEGG) enrichment analysis of DEPs revealed that multiple differential
genes were enriched in the estrogen and peroxisome proliferator-activated receptor (PPAR) signaling
pathways. Relationships with nitrogen metabolism, glycerophospholipid metabolism, secretion
systems, and tumor diseases were also observed. Western blotting was consistent with the
analysis.

Conclusions::

We used TMT-based proteomics to analyze the positive effects of TCM Drynaria
rhizome, which can regulate related proteins through the unique roles of multiple mechanisms,
targets, and pathways. This treatment approach can regulate oxidative stress, improve lipid metabolism,
reduce the inflammatory response mechanism, and improve bone density. These benefits
highlight the unique advantages of TCM in the treatment of primary osteoporosis.
Transcription Factors in Brain Regeneration: A Potential Novel
Therapeutic Target
Authors: Marzoog Basheer Abdullah
Published: December 2023

Transcription factors play a crucial role in providing identity to each cell population.
To maintain cell identity, it is essential to balance the expression of activator and inhibitor transcription
factors. Cell plasticity and reprogramming offer great potential for future therapeutic applications,
as they can regenerate damaged tissue. Specific niche factors can modify gene expression
and differentiate or transdifferentiate the target cell to the required fate. Ongoing research is
being carried out on the possibilities of transcription factors in regenerating neurons, with neural
stem cells (NSCs) being considered the preferred cells for generating new neurons due to their
epigenomic and transcriptome memory. NEUROD1/ASCL1, BRN2, MYTL1, and other transcription
factors can induce direct reprogramming of somatic cells, such as fibroblasts, into neurons.
However, the molecular biology of transcription factors in reprogramming and differentiation still
needs to be fully understood.
Gait Parameters can Reflect Cognitive Performance in Older Adults with Cerebral Small Vessel Disease: A Cross-sectional Research
Authors: Jiang Mingzhu , Li Yan , Chen Ying , Fan Jinying , Zhao Zhiqin , Long Wenkai , Huang Hailun , Tang Chao , Luo Fang , Li Mi , Lin Bo , Xiao Ning , Wu Shan , Ding Jing
Published: December 2023

Background:

Cerebral small vessel disease (CSVD) is a common chronic progressive
disease. It remains unclear whether high gait variability is a marker of cognitive cortical dysfunction

Methods:

This study included 285 subjects (aged from 60 to 85 years, 60.3% female) including
37 controls, 179 presented as Fazekas II, and 69 presented as Fazekas III. The severity of white
matter hyperintensities was assessed by the Fazekas Rating Scale. Gait parameters were assessed
using a vision-based artificial intelligent gait analyzer. Cognitive function was tested by MMSE,
MoCA, DST, and VFT.

Results:

Three gait parameters including gait speed, gait length, and swing time were associated
with cognitive performance in patients with CSVD. Gait speed was associated with cognitive
performance, including MMSE (β 0.200; 95%CI 1.706-6.018; p <.001), MoCA (β 0.183; 95%CI
2.047-7.046; p <.001), DST (order) (β 0.204; 95%CI 0.563-2.093; p =.001) and VFT (β 0.162;
95%CI 0.753-4.865; p =.008). Gait length was associated with cognitive performance, including
MMSE (β 0.193; 95%CI 3.475-12.845; p =.001), MoCA (β 0.213; 95%CI 6.098-16.942; p
<.001), DST (order) (β 0.224; 95%CI 1.056-4.839; P <.001) and VFT (β 0.149; 95%CI 1.088-
10.114; p =.015). Swing time was associated with cognitive performance, including MMSE (β -
0.242; 95%CI -2.639 to -0.974; p<.001), MoCA (β -0.211; 95%CI -2.989 to -1.034; p <.001) and
DST (reverse order) (β -0.140; 95%CI -0.568 to -0.049; p =.020).

Conclusion:

This study revealed that the relationship between gait parameters and cognitive performance
in patients with CSVD and the deteriorated gait parameters can reflect cognitive impairment
and even dementia in older people with CSVD.
The Association between Serum Total Bilirubin and Severe Headaches or Migraine in American Adults
Authors: He Yuting , Huang Hao , Dai Lingao , Wang Xiaoping
Published: December 2023

Background:

Studies about the association between bilirubin and migraine were few.
Therefore, the purpose of this study was to investigate the association between serum total bilirubin
and the prevalence of severe headaches or migraine.

Methods:

A multivariable logistic regression was used to assess the association between serum
total bilirubin concentration and severe headaches or migraine. We also performed stratified
analyses, interaction analyses and multiple interpolations in the sensitivity analysis.

Results:

This cross-sectional study included 12,552 adults from the National Health and Nutrition
Examination Survey (NHANES) from 1999 to 2004. The overall incidence of migraine was
19.99% (2,509/12,552). With every 1 mg/dl increase in bilirubin, the prevalence of migraine
decreased by 23% (95% CI: 0.64, 0.93) after adjustment of all related covariates. Similarly, the
risk of migraine was reduced by 17% (95% CI: 0.72, 0.97) in the Q4 group (the fourth quartile,
highest serum total bilirubin level) compared with the Q1 group (the lowest level). Furthermore,
interaction effects by age groups were significant in this relationship (P for interaction = 0.0004).
In the Q4 group compared with Q1, inverse associations were observed in those aged ≥40 years
(OR: 0.71,95% CI: 0.59, 0.85) in the stratified analysis.

Conclusion:

These findings support an association between serum total bilirubin and severe
headaches or migraine, revealing an inverse association between serum total bilirubin quartiles
and severe headaches or migraine in American adults. Age could play an important role in this
association.
Proposal of a Modified Classification of Hypertensive Crises: Urgency,
Impending Emergency, and Emergency
Authors: Koracevic Goran , Stojanovic Milovan , Zdravkovic Marija , Lovic Dragan , Simic Dragan , Mladenovic Katarina
Published: December 2023

Systemic arterial hypertension (HTN) is the main cause of morbidity and mortality, and
HTN crises contribute significantly to an unfavourable clinical course. For decades, HTN crises have
been dichotomized into hypertensive emergency (HTN-E) and hypertensive urgency (HTN-U). The
main difference between the two is the presence of acute hypertension-mediated organ damage
(HMOD) – if HMOD is present, HTN crisis is HTN-E; if not, it is HTN-U. Patients with HTN-E are
in a life-threatening situation. They are hospitalized and receive antihypertensive drugs intravenously
(IV). On the other hand, patients with HTN-U are usually not hospitalized and receive their antihypertensives
orally. We suggest a modification of the current risk stratification scheme for patients
with HTN crises. The new category would be the intermediate risk group, more precisely the ‘impending
HTN-E’ group, with a higher risk in comparison to HTN-U and a lower risk than HTN-E.
‘Impending HMOD’ means that HMOD has not occurred (yet), and the prognosis is, therefore, better
than in patients with ongoing HMOD. There are three main reasons to classify patients as having
impending HTN-E: excessively elevated BP, high-risk comorbidities, and ongoing bleeding/high
bleeding risk. Their combinations are probable. This approach may enable us to prevent some HTNEs
by avoiding acute HMOD using a timely blood pressure treatment. This treatment should be
prompt but controlled.
Molecular Modeling of Brassicaceae Derivatives for Inhibiting
Lipoxygenases: A Promising Therapeutic Strategy
Authors: Soufi Wassila , Allali Hocine , Hacene Faïza Boukli , Ghalem Saïd
Published: December 2023

Introduction:

Inflammation plays a crucial role in the body's defense mechanisms, but
uncontrolled inflammation can lead to chronic and pathological conditions. This study aimed to
identify natural compounds as potential replacements for the synthetic drug Zileuton, known for its
side effects.

Method:

Utilizing the MOE and Molegro modeling methods, several molecules were evaluated, and
three compounds, namely 1-Isothiocyanatopent-4-en-2-ol, 7-Isothiocyanatohept-1-ene, and 5-
(Isothiocyanatomethyl)-1,2,3-trimethoxybenzene, exhibited superior inhibitory properties. These
compounds consistently demonstrated low energy values, indicating high inhibition potency. Notably, 5-(Isothiocyanatomethyl)-1,2,3-trimethoxybenzene emerged as the most promising candidate
among all tested compounds.

Results:

These findings provide valuable insights for the development of alternative anti-inflammatory agents. Further research is required to assess the efficacy and safety profiles of these compounds
in clinical settings.

Conclusion:

This study represents a significant advancement in the search for innovative therapeutic strategies to manage inflammation-related disorders.
Grey Wolf Optimizer-based Decentralized Service Discovery in the Internet of Things Applications
Authors: Azizou Zahia Bensalah , Boudries Abdelmalek , Amad Mourad
Published: December 2023

Introduction:

The Internet of Things (IoT) has emerged as a significant technology in recent
years, wherein each object is equipped with sensors and applications that provide functionality
through services. Due to the increasing benefits of heterogeneous objects with constrained resources
in high environments, traditional service discovery approaches become impractical for dynamic IoT
networks. Therefore, service discovery poses a considerable challenge for the Internet of Things.

Methods:

This paper introduces a novel decentralized discovery algorithm based on the Grey Wolf
Optimizer (GWO) for IoT services. GWO is a recent metaheuristic in swarm intelligence designed to
solve combinatorial optimization problems.

Results:

simulation results indicate that GWO achieves high discovery success with minimal steps
required for service discovery.

Conclusion:

Our approach maintains its performance and exhibits good scalability as the number of
objects increases in the decentralized approach for IoT.
Face Recognition using Convolutional Neural Network Algorithms
Authors: Fatima Eram , Kumar Ankit , Kumar Singh Anil
Published: December 2023

Biometric applications have massive demand in today’s era. The areas of
applications are mostly linked with the security of the system. Biometric features are
regarded as the primary resource for security purposes due to their own distinctiveness
and non-volatile essence. System authentication using biometrics is considered to be a
sophisticated technology. Noise effect inducts variation in the biometric subject that
causes an adverse impact on establishing the recognition. The proposed model
supported the development of an effective method for performing facial biometric
feature recognition. The model's goal is to reduce the number of false approvals and
refusals. The proposed algorithm has been applied over a video dataset containing
surveillance video frames that capture facial subjects dynamically. The first step is the
pre-processing of the video frames that have been carried out in the proposed model.
Then, the Viola-Jones algorithm was applied to detect the facial subjects in the video
frames. Feature extraction from the facial subject has been accomplished by applying a
deep reinforcement learning algorithm. Further, the proposed model applied a
convolutional neural network (CNN) algorithm to perform feature recognition of facial
identity accurately. The proposed technique aims to maintain a huge recognition rate of
dynamic facial subjects under various unprecedented noise variations. In the
classification algorithm, the recognition accuracy is found to be 98.85%
Aardgasvrij wonen in Rotterdam
Authors: van der Kolk Daan
Published: December 2023

In 2050 is Nederland aardgasvrij. Rotterdam gaat mee in deze ambitie en is sinds 2016 gestart om die transitie te maken. Met de gebiedsaanpakken wordt Rotterdam wijk voor wijk van het aardgas afgehaald en aangesloten op een alternatieve, duurzame warmtevoorziening. Tegelijkertijd richt de gebiedsaanpak zich op veel meer dan alleen het aardgasvrij maken.
Morfología polínica de las especies de Ephedra (Ephedraceae) distribuidas en México
Authors: Galván Escobedo Iris Grisel , López-Mata Lauro , Zepeda Rodríguez Armando , Pasos Nájera Francisco , Rosas Pérez Irma
Published: December 2023

Antecedentes y Objetivos: El género Ephedra incluye aproximadamente 50 especies distribuidas en zonas semiáridas del mundo. En México se encuentran ocho: Ephedra antisyphilitica, E. aspera, E. californica, E. compacta, E. nevadensis, E. pedunculata, E. torreyana y E. trifurca. La falta de información detallada de la morfología del polen de las especies mexicanas actuales de Ephedra, ha dificultado la asignación de la afinidad botánica del polen fósil de Ephedripites. El objetivo de este trabajo fue caracterizar la morfología polínica de las ocho especies de Ephedra presentes en México y detectar las variables morfológicas distintivas de cada una. Métodos: Se revisaron ocho variables morfológicas del polen obtenido de ejemplares herborizados. Los granos de polen fueron acetolizados y examinados mediante microscopía fotónica y electrónica de barrido. Las variables fueron analizadas con técnicas estadísticas uni y multivariadas. Resultados clave: Las variables morfológicas distintivas fueron el número y distancia entre plicae, y forma de la plica y del pseudosulco. De estas, la distancia entre plicae comúnmente no se considera relevante en los estudios de morfología polínica de Ephedra. La forma del pseudosulco aporta más información referente a la variación morfológica del polen al vincularse con la presencia o ausencia de ramificaciones en el pseudosulco. Con base en las características polínicas, las especies estudiadas se agruparon en cuatro clases: I) E. aspera, E. compacta y E. pedunculata; II) E. californica y E. trifurca; III) E. antisyphilitica y E. torreyana; y IV) E. nevadensis. Conclusiones: Los métodos estadísticos multivariados permitieron analizar de manera conjunta caracteres cualitativos y cuantitativos del polen de las especies de Ephedra que hay en México. La agrupación en clases con base en su morfología polínica puede servir de referencia para asignar afinidades botánicas con especies actuales que tengan polen tipo Ephedroide, el cual ha sido registrado en algunas paleocuencas de México.
Implementacion de un sistema ISO 9001:2015 para la producción de chocolates artesanales en Asociación “Planta de elaborados de cacao”, Echeandía.
Authors: Tigre León Angélica , Bravo María Belén , Rojas Sánchez Arturo , Pazmiño Mantilla Lourdes , Bayas Morejón Favian
Published: December 2023

El objetivo de esta investigación fue implementar un sistema de gestión para una línea de bombones basado en la normativa ISO 9001:2015 en la "PLANTA DE ELABORADOS DE CACAO" perteneciente a la Asociación de Grupo de Productoras de San Gerardo en Echeandía, El estudio involucró analizar el diagnóstico del estado actual de la asociación mediante el uso de técnicas de análisis como PEST; También se aplicó el análisis FODA, identificando indicadores positivos como oportunidades y fortalezas, así como indicadores negativos como debilidades y amenazas. Los puntos críticos de control se identificaron mediante el Diagrama de Pareto donde se obtuvo que la insuficiente línea de frio es la principal causa de los problemas en el producto, seguido por el temperador pequeño, en la producción de bombones al 60% de cacao se identificó que estas causas se ubican en la etapa de producción y distribución del producto, a su vez usando el árbol de decisiones se obtuvo que los puntos críticos de control que deben ser monitoreados y tratados son en las estepas de almacenado y distribución dado a que después de cada una de estas etapas no existe ningún otro proceso que permita el arreglo del producto final. En conclusión, el análisis revela la existencia de factores que deben ser atendidos. Los problemas significativos identificados están relacionados específicamente con el marketing y la conservación de la cadena de frío, así como los riesgos biológicos dentro de los procesos de almacenamiento y distribución, los cuales pueden mitigarse mediante la corrección de errores.

Palabras clave: Gestión de calidad; norma ISO 9001:2015; Chocolate artesanal; planta de elaborados de cacao.
Triangulating Truth and Reaching Consensus on Population Size, Prevalence, and More: Modeling Study
Authors: Fellows Ian E , Corcoran Carl , McIntyre Anne F
Published: December 2023

Background

Population size, prevalence, and incidence are essential metrics that influence public health programming and policy. However, stakeholders are frequently tasked with setting performance targets, reporting global indicators, and designing policies based on multiple (often incongruous) estimates of these variables, and they often do so in the absence of a formal, transparent framework for reaching a consensus estimate.

Objective

This study aims to describe a model to synthesize multiple study estimates while incorporating stakeholder knowledge, introduce an R Shiny app to implement the model, and demonstrate the model and app using real data.

Methods

In this study, we developed a Bayesian hierarchical model to synthesize multiple study estimates that allow the user to incorporate the quality of each estimate as a confidence score. The model was implemented as a user-friendly R Shiny app aimed at practitioners of population size estimation. The underlying Bayesian model was programmed in Stan for efficient sampling and computation.

Results

The app was demonstrated using biobehavioral survey-based population size estimates (and accompanying confidence scores) of female sex workers and men who have sex with men from 3 survey locations in a country in sub-Saharan Africa. The consensus results incorporating confidence scores are compared with the case where they are absent, and the results with confidence scores are shown to perform better according to an app-supplied metric for unaccounted-for variation.

Conclusions

The utility of the triangulator model, including the incorporation of confidence scores, as a user-friendly app is demonstrated using a use case example. Our results offer empirical evidence of the model’s effectiveness in producing an accurate consensus estimate and emphasize the significant impact that the accessible model and app offer for public health. It offers a solution to the long-standing problem of synthesizing multiple estimates, potentially leading to more informed and evidence-based decision-making processes. The Triangulator has broad utility and flexibility to be adapted and used in various other contexts and regions to address similar challenges.