bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrafast dissipative soliton generation in anomalous dispersion achieving high peak power beyond the limitation of cubic nonlinearity
Authors: Gene Jinhwa , Kim Seung Kwan , Do Lim Sun , Jeon Min Yong 
Published: October 2023

AbstractThe maximum peak power of ultrafast mode-locked lasers has been limited by cubic nonlinearity, which collapses the mode-locked pulses and consequently leads to noisy operation or satellite pulses. In this paper, we propose a concept to achieve mode-locked pulses with high peak power beyond the limitation of cubic nonlinearity with the help of dissipative resonance between quintic nonlinear phase shifts and anomalous group velocity dispersion. We first conducted a numerical study to investigate the existence of high peak power ultrafast dissipative solitons in a fiber cavity with anomalous group velocity dispersion (U-DSAD) and found four unique characteristics. We then built long cavity ultrafast thulium-doped fiber lasers and verified that the properties of the generated mode-locked pulses match well with the U-DSAD characteristics found in the numerical study. The best-performing laser generated a peak power of 330 kW and a maximum pulse energy of 80 nJ with a pulse duration of 249 fs at a repetition rate of 428 kHz. Such a high peak power exceeds that of any previous mode-locked pulses generated from a single-mode fiber laser without post-treatment. We anticipate that the means to overcome cubic nonlinearity presented in this paper can give insight in various optical fields dealing with nonlinearity to find solutions beyond the inherent limitations.
Adapting to uncertainty: navigating the pandemic with green and traditional HR practices
Authors: Sumayya Ume , Amen Ume , Hameed Irfan 
Published: October 2023

AbstractThis research explores the relationship between green human resource management (HR) practices and organizational agility in the context of international organizations based in Karachi, Pakistan, during the COVID-19 pandemic. Drawing upon previous research and theories, the study investigates the impact of traditional and green HR practices on organizational agility. The research underscores the crucial role of organizational support as a predictor of organizational agility during the pandemic. The study utilizes a convenience sample of international firms operating in Karachi, chosen for their potential adoption of green HR practices. Data were collected through a survey questionnaire consisting of two sets of questions, one for organizations implementing green HR practices and the other for those employing traditional HR practices. The survey items measured green training and development, green rewards and recognition, organizational support, and traditional HR counterparts. The internal consistency of the constructs was established through Cronbach’s alpha values, indicating good reliability. The results supported the hypotheses that organizations with green training and development and green rewards and recognition exhibit higher organizational agility levels than their traditional HR counterparts. However, the interaction between green HR practices and organizational support did not significantly predict organizational agility. Despite this, the study highlights the substantial impact of organizational support on organizational agility during the pandemic. These findings emphasize the need for organizations to invest in green HR practices, given their potential to enhance organizational agility. Organizations are encouraged to consider the adoption of green HR practices not only as a sustainability initiative but also as a means to enhance their ability to navigate complex and unpredictable environments.
21st century medicine and emerging biotechnological syndromes: a cross-disciplinary systematic review of novel patient presentations in the age of technology
Authors: Straw Isabel , Rees Geraint , Nachev Parashkev 
Published: October 2023

Abstract
Background
Biotechnological syndromes refer to the illnesses that arise at the intersection of human physiology and digital technology. Now that we experience health and illness through so much technology (e.g. wearables, telemedicine, implanted devices), the medium is redefining our expression of symptoms, the observable signs of pathology and the range of diseases that may occur. Here, we systematically review all case reports describing illnesses related to digital technology in the past ten years, in order to identify novel biotechnological syndromes, map out new causal pathways of disease, and identify gaps in care that have disadvantaged a community of patients suffering from these digital complaints.

Methods
PubMed, MEDLINE, Scopus, Cochrane Library and Web of Science were searched for case reports and case series that described patient cases involving biotechnological syndromes from 01/01/2012 to 01/02/2022. For inclusion the technology had to play a causative role in the disease process and had to be digital (as opposed to simple electronic).

Results
Our search returned 7742 articles, 1373 duplicates were removed, 671 met the criteria for full review and 372 were included in the results. Results were categorised by specialty, demonstrating that syndromes were most common in Cardiology (n = 162), Microbiology and Infectious Diseases (n = 36), and Emergency and Trauma (n = 26).

Discussion
The 372 unique patient cases demonstrated a range of severity from mild (e.g., injuries related to Pokemon Go) to moderate (e.g. pacemaker-generated rib fractures) and severe (e.g. ventilator software bugs causing cardiac arrest). Syndromes resulted from both consumer technology (e.g. gaming addictions) and medical technologies (e.g. errors in spinal stimulators). Cases occurred at both the individual level (e.g. faulty insulin pumps) and at the population level (e.g. harm from healthcare cyberattacks).

Limitations
This was a retrospective systematic review of heterogeneous reports, written in English, which may only reflect a small proportion of true prevalence rates in the population.
Factors Affecting Patient and Caregiver Preferences for Treatment of Myeloma and Indolent Lymphoma
Authors: Tan Chia Jie , Tan Melinda Si Yun , Nagarajan Chandramouli , Chng Wee Joo , Chee Yen-Lin , Ooi Melissa , Ng Lawrence Cheng Kiat , Chen Yunxin , Yoong Joanne Su Yin , Wong Xin Yi , Jen Wei-Ying 
Published: October 2023

PURPOSE Treatment options for myeloma and indolent lymphoma are increasing exponentially, with distinct efficacy, side effects, and cost. We aim to determine the factors influencing patient and caregiver treatment preferences. METHODS Patients and caregivers of patients with myeloma and indolent lymphoma were recruited from two cancer centers in Singapore. Preferences were elicited using a discrete choice experiment. Attributes and levels were selected based on a previous qualitative study. The relative preference for levels within each attribute (part worth utility values) and the extent to which an attribute would influence decision making (relative importance) were calculated. Patient and caregiver participation in the treatment plan selection process were assessed using the Control Preference Scale. RESULTS One hundred ninety-nine patients and 169 caregivers were recruited. Patients placed the highest importance on out-of-pocket costs (relative importance = 35%), followed by efficacy (25%), persistent side effects (19%), administration route (8%), treatment duration (7%), and short-term side effects (5%). Caregivers ranked efficacy (27%) as the most important attribute, over out-of-pocket costs (24%). Most patients preferred a collaborative role in the shared decision-making process, while similar proportions of caregivers favored active and collaborative roles. CONCLUSION Our study demonstrates that both patients and caregivers consider cost seriously when making treatment decisions. Furthermore, as patient and caregiver preferences may differ, there are implications for treatment selection and counseling, especially in cultures where caregivers have more prominent roles in treatment planning.
Attempting Escape
Authors: Williams Luke 
Published: October 2023

AbstractThe artwork of sculptor, draftsperson, and installation artist Michael Richards (1963 – 2001) challenges prevalent assumptions about the physical properties, and therefore the aesthetic application, of suspension in Black cultural production. As an African American of Jamaican and Costa Rican descent, Richards grappled with questions of citizenship, racism, and freedom, frequently using motifs of flight and gravity. Although Richards created his work before his untimely death in the September 11 attacks on the World Trade Center, his piece titled Tar and Feather nevertheless anticipates the possibilities, and important limitations, of suspension as a theoretical framework. When placed in conversation with the theoretical discourse that now exists surrounding suspension, Richards's material sculptures and archival sketches posthumously anticipate the limits of conventional strategies for Black possibility. This paper argues that Tar and Feather illustrates the asymptotic imbrication of blackness and freedom, which renders the plot as both a diagram of forces and an abstract aesthetic geography from which to create.
Reveal and Restraint
Authors: Aranke Sampada , Moor Ayanah 
Published: October 2023

Abstract
Sampada Aranke and Ayanah Moor dialogue on the myriad ways Moor intervenes upon art histories of abstraction in her studio practice. This conversation leads to threads and themes in her practice that open up avenues for rethinking liminality, suspension, and ongoingness that are central to this issue of liquid blackness. Moor calls her method “social abstraction,” by reconsidering how abstraction, a practice mis-categorized as one that transcends identity, might be precisely the form for centering black subjectivity. Moor is invested in the racial and gendered aspects that might be latent in abstract practices; where, for example, collage does and does not serve as an operation for encountering black interior or romantic space. Throughout her work, there is a careful attention to restraint as a method of protection, precision, and engagement. Moor's enactment of the processual and suspended logics of form as an aesthetic and social process resonate in the worlds of her paintings as they also leap beyond the panel itself. It's almost as if Moor is allowing her viewer to relish in and embrace the unfixity of a shape, the emergence of a figure, the suspension of a line, as a way to embrace the ongoingness of their own becoming.
Endoscopic Endonasal Approach for Tuberculum Sellae Meningioma: 2-Dimensional Operative Video
Authors: Cavallo Luigi Maria , Solari Domenico , d’Avella Elena , Colangelo Manuel , Cappabianca Paolo 
Published: October 2023

INDICATIONS: CORRIDOR AND LIMITS OF EXPOSURE:
Ideal indications for tuberculum sellae meningiomas (TSM) removal through endoscopic endonasal approach (EEA) are midline tumors (<3.5 cm), possibly with no optic canal invasion and no vessels encasement. The EEA is favored by a wide tuberculm sellae (TS) angle and a deep sella at the sphenoid sinus (SS).
1
Adequate removal of paranasal structures provides a wider surgical corridor ensuring exposure at the suprasellar area and safe instruments manuevrability.
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ANATOMIC ESSENTIALS: NEED FOR PREOPERATIVE PLANNING AND ASSESSMENT:
The endoscopic transtuberculum transplanum approach allows for wide suprasellar intradural exposure.
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Removal of the supraoptic recess (SOR) provides further lateral extension over the planum sphenoidale (PS) and proper management of dural involvement at the optic canal.
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ESSENTIAL STEPS OF THE PROCEDURE:
The patients have consented to the procedure. Bone removal starts at the upper sella and TS and is extended anteriorly over the PS and laterally, upon needs, at the SORs. On dural opening, tumor devascularization, dedressing, debulking, and dissection are run. Skull base reconstruction is performed using the 3F technique.
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PITFALLS/AVOIDANCE OF COMPLICATIONS:
In those cases with vessel encasement, possibility of achieving total resection has to be balanced with risk of vascular injury.
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Optic canal dural invasion precludes tumor total removal; however, bony decompression is maximal using the EEA. Concerning postoperative cerebrospinal fluid fistula, nowadays the rates have dropped to <2%.

VARIANTS AND INDICATIONS FOR THEIR USE:
A wider skull base osteodural opening allows for the removal of selected meningiomas extending to the PS and cribriform plate.
Bilateral Laser Interstitial Thermal Therapy for Butterfly Gliomas Compared With Needle Biopsy: A Preliminary Survival Study
Authors: Daggubati Lekhaj C. , Ramos-Fresnedo Andres , Merenzon Martin A. , Bhatia Shovan , Morell Alexis A. , Berry Katherine M. , Chandar Jay , Shah Ashish H. , Komotar Ricardo J. , Ivan Michael E. 
Published: October 2023

BACKGROUND AND OBJECTIVES:
Bilateral/butterfly glioblastoma (bGBM) has a poor prognosis. Resection of these tumors is limited due to severe comorbidities that arise from surgical procedures. Laser interstitial thermal therapy (LITT) offers a minimally invasive cytoreductive therapy for deep-seated tumors such as bGBM. The objective of this study was to evaluate the safety of bilateral LITT in patients with bGBM.

METHODS:
Medical records of all consecutive patients diagnosed with bGBM by a single surgeon at a single institution from January 2014 to August 2022 were reviewed. Clinical, safety, and radiographic volumetric data were obtained. In addition, an exploratory analysis of survival was performed.

RESULTS:
A total of 25 patients were included; 14 underwent biopsy only, and 11 underwent biopsy + LITT (7 underwent bilateral and 4 underwent unilateral LITT). No (0%) intraoperative or postoperative complications were recorded in the treatment group. Tumor volume negatively correlated with extent of treatment (r2 = 0.44, P = .027). The median progression-free survival was 2.8 months in the biopsy-only group and 5.5 months in the biopsy + LITT group (P = .026). The median overall survival was 4.3 months in the biopsy-only group and 10.3 months in the biopsy + LITT group (P = .035).

CONCLUSION:
Bilateral LITT for bGBM can be safely performed and shows early improvement of the progression-free survival and long-term survival outcomes of these patients.
Impact of high-fat diet and exposure to constant light on reproductive competence of female ICR mice
Authors: Teeple Kelsey , Rajput Prabha , Scinto Sara , Schoonmaker Jenna , Davis Corrin , Dinn Michayla , McIntosh Mackenzie , Krishnamurthy Sairam , Plaut Karen , Casey Theresa 
Published: October 2023

ABSTRACT
Obesity and exposure to light at night are prevalent in modern society and associated with changes in physiology and behavior that can affect a female's ability to support offspring growth during pregnancy and lactation. A 2X3 factor study of ICR mice was conducted to determine the effect of diet [control (CON; 10% fat) or high fat (HF; 60% fat)] and exposure to regular 12 h light:dark cycles (LD) or continuous low (L5) or high (L100) lux of light on gestation length, birth litter size, milk composition and litter growth to lactation day 12. HF diet reduced birth litter size, but increased postnatal d 12 litter weight (P&lt;0.05), whereas constant light tended to increase litter weight (P=0.07). Continuous light increased gestation length, altered dam feed intake, increased serum prolactin and increased final dam and mammary gland weight (P&lt;0.05), while decreasing mammary ATP content and milk lactose (P&lt;0.05). Correlation analysis indicated a positive relationship between final litter weight and mammary size, metabolic stores (e.g. maternal fat pad weight), kcal of feed intake, and gestation length (P&lt;0.05). Although CON mice spent more time eating than HF dams, the calorically dense HF diet was related to greater rates of litter growth to peak lactation. Constant light circadian disrupting effects appear to be confounded by a potential long day photoperiod response exemplified by higher circulating levels of prolactin and increased body and mammary weight of females exposed to these conditions. Other model systems may be better to study the interacting effects of obesity and circadian disruption on reproductive competence.
Field physiology in the aquatic realm: ecological energetics and diving behavior provide context for elucidating patterns and deviations
Authors: Costa Daniel P. , Favilla Arina B. 
Published: October 2023

ABSTRACT
Comparative physiology has developed a rich understanding of the physiological adaptations of organisms, from microbes to megafauna. Despite extreme differences in size and a diversity of habitats, general patterns are observed in their physiological adaptations. Yet, many organisms deviate from the general patterns, providing an opportunity to understand the importance of ecology in determining the evolution of unusual adaptations. Aquatic air-breathing vertebrates provide unique study systems in which the interplay between ecology, physiology and behavior is most evident. They must perform breath-hold dives to obtain food underwater, which imposes a physiological constraint on their foraging time as they must resurface to breathe. This separation of two critical resources has led researchers to investigate these organisms’ physiological adaptations and trade-offs. Addressing such questions on large marine animals is best done in the field, given the difficulty of replicating the environment of these animals in the lab. This Review examines the long history of research on diving physiology and behavior. We show how innovative technology and the careful selection of research animals have provided a holistic understanding of diving mammals’ physiology, behavior and ecology. We explore the role of the aerobic diving limit, body size, oxygen stores, prey distribution and metabolism. We then identify gaps in our knowledge and suggest areas for future research, pointing out how this research will help conserve these unique animals.
On solving system of differential-algebraic equations using adomian decomposition method
Authors: Thota Srinivasarao , P Shanmugasundaram 
Published: October 2023

Background: In this paper, we focus on an efficient and easy method for solving the given system of differential-algebraic equations (DAEs) of second order. Methods: The approximate solutions are computed rapidly and efficiently with the help of a semi-analytical method known as Adomian decomposition method (ADM). The logic of this method is simple and straightforward to understand. Results: To demonstrate the proposed method, we presented several examples and the computations are compared with the exact solutions to show the efficient. One can employ this logic to different mathematical software tools such as Maple, SCILab, Mathematica, NCAlgebra, Matlab etc. for the problems in real life applications. Conclusions: In this paper, we offered a method for solving the given system of secondorder nonlinear DAEs with aid of the ADM. We shown that the proposed method is simple and efficient, also one can obtain the approximate solutions quickly using this method. A couple of examples are discussed for illustrating this method and graphical and mathematical assessments are discussed with the analytical solutions of the given problems.
The role of transvaginal sonography in diagnosis of female infertility: a study protocol
Authors: Thaker Nirja , Dhande Rajasbala 
Published: October 2023

Infertility has an increased incidence in today’s world. It has a negative impact on both the psychological and physical aspects of a person. In order to tackle this issue, it is necessary to know the cause of infertility. Transvaginal ultrasound is an accurate, cost-effective and rapid method in diagnosing the causes of infertility which can reduce the need of invasive procedures like hysteroscopy. The main aim of this study is to describe the role of transvaginal ultrasonography in diagnosing various causes of female infertility.
Policy Learning with Adaptively Collected Data
Authors: Zhan Ruohan , Ren Zhimei , Athey Susan , Zhou Zhengyuan 
Published: October 2023

In a wide variety of applications, including healthcare, bidding in first price auctions, digital recommendations, and online education, it can be beneficial to learn a policy that assigns treatments to individuals based on their characteristics. The growing policy-learning literature focuses on settings in which policies are learned from historical data in which the treatment assignment rule is fixed throughout the data-collection period. However, adaptive data collection is becoming more common in practice from two primary sources: (1) data collected from adaptive experiments that are designed to improve inferential efficiency and (2) data collected from production systems that progressively evolve an operational policy to improve performance over time (e.g., contextual bandits). Yet adaptivity complicates the problem of learning an optimal policy ex post for two reasons: first, samples are dependent and, second, an adaptive assignment rule may not assign each treatment to each type of individual sufficiently often. In this paper, we address these challenges. We propose an algorithm based on generalized augmented inverse propensity weighted (AIPW) estimators, which nonuniformly reweight the elements of a standard AIPW estimator to control worst case estimation variance. We establish a finite-sample regret upper bound for our algorithm and complement it with a regret lower bound that quantifies the fundamental difficulty of policy learning with adaptive data. When equipped with the best weighting scheme, our algorithm achieves minimax rate-optimal regret guarantees even with diminishing exploration. Finally, we demonstrate our algorithm’s effectiveness using both synthetic data and public benchmark data sets. This paper was accepted by Hamid Nazerzadeh, data science. Funding: This work is supported by the National Science Foundation [Grant CCF-2106508]. R. Zhan was supported by Golub Capital and the Michael Yao and Sara Keying Dai AI and Digital Technology Fund. Z. Ren was supported by the Office of Naval Research [Grant N00014-20-1-2337]. S. Athey was supported by the Office of Naval Research [Grant N00014-19-1-2468]. Z. Zhou is generously supported by the New York University’s 2022–2023 Center for Global Economy and Business faculty research grant and the Digital Twin research grant from Bain & Company. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2023.4921 .