def remove_nodes_brute_force(head, requirement_function, comparison_function):
    all_possible_sublists = []

    def generate_sublists(current_node, current_sublist):
        if current_node is None:
            all_possible_sublists.append(current_sublist)
            return

        # Explore the possibility of excluding
        # current node from the sublist.
        generate_sublists(current_node.next, current_sublist.copy())

        # Explore the possibility of including
        # current node in the sublist.
        current_sublist.append(current_node.val)
        generate_sublists(current_node.next, current_sublist.copy())

    generate_sublists(head, [])

    valid_sublists = []
    for sublist in all_possible_sublists:
        # We convert the list of values to a linked list.
        # It is convenient for the later requirement check.
        dummy_head = ListNode(0)
        current = dummy_head
        for value in sublist:
            current.next = ListNode(value)
            current = current.next
        list_head = dummy_head.next

        if requirement_function(list_head):
            valid_sublists.append(sublist)

    best_sublist = None
    for sublist in valid_sublists:
        # Choose the 'best' valid sublist based on
        # the provided comparison function
        if best_sublist is None:
            best_sublist = sublist
        elif comparison_function(sublist, best_sublist):
            best_sublist = sublist

    if best_sublist is None:
        return None

    # We convert the best sublist to a linked list.
    dummy_head = ListNode(0)
    current = dummy_head
    for value in best_sublist:
        current.next = ListNode(value)
        current = current.next

    return dummy_head.next

class ListNode:
    def __init__(self, val=0, next=None):
        self.val = val
        self.next = next

class ListNode:
    def __init__(self, value=0, next_node=None):
        self.value = value
        self.next_node = next_node

def remove_nodes(head):
    if not head:
        return None

    maximum_value_so_far = head.value
    current_node = head.next_node
    previous_node = head

    while current_node:
        if current_node.value < maximum_value_so_far:
            # Remove the current node by updating the previous node's next.
            previous_node.next_node = current_node.next_node

        else:
            # Update the maximum value because we found a larger value
            maximum_value_so_far = current_node.value
            previous_node = current_node

        current_node = current_node.next_node

    # Check if the head node needs to be removed
    if head.value < 0:
        return head.next_node
    else:
        return head